for Journals by Title or ISSN
for Articles by Keywords

 A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  

        1 2 3 4 5        [Sort by number of followers]   [Restore default list]

  Subjects -> PSYCHOLOGY (Total: 880 journals)
Showing 1 - 174 of 174 Journals sorted alphabetically
Acción Psicológica     Open Access   (Followers: 2)
Acta Colombiana de Psicología     Open Access   (Followers: 4)
Acta Comportamentalia     Open Access   (Followers: 3)
Acta de Investigación Psicológica     Open Access   (Followers: 2)
Acta Psychologica     Hybrid Journal   (Followers: 23)
Activités     Open Access   (Followers: 1)
Actualidades en Psicologia     Open Access   (Followers: 2)
Ad verba Liberorum : Journal of Linguistics & Pedagogy & Psychology     Open Access   (Followers: 8)
Addictive Behaviors Reports     Open Access   (Followers: 5)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 23)
ADHD Report The     Full-text available via subscription   (Followers: 8)
Advances in Experimental Social Psychology     Full-text available via subscription   (Followers: 41)
Advances in Mental Health     Hybrid Journal   (Followers: 73)
Advances in Physiotherapy     Hybrid Journal   (Followers: 56)
Advances in Psychology     Full-text available via subscription   (Followers: 61)
Advances in the Study of Behavior     Full-text available via subscription   (Followers: 30)
African Journal of Cross-Cultural Psychology and Sport Facilitation     Full-text available via subscription   (Followers: 3)
Aggression and Violent Behavior     Hybrid Journal   (Followers: 405)
Aggressive Behavior     Hybrid Journal   (Followers: 15)
Aging, Neuropsychology, and Cognition     Hybrid Journal   (Followers: 33)
Ágora - studies in psychoanalytic theory     Open Access   (Followers: 3)
Aletheia     Open Access   (Followers: 1)
American Behavioral Scientist     Hybrid Journal   (Followers: 16)
American Imago     Full-text available via subscription   (Followers: 3)
American Journal of Applied Psychology     Open Access   (Followers: 37)
American Journal of Community Psychology     Hybrid Journal   (Followers: 24)
American Journal of Health Behavior     Full-text available via subscription   (Followers: 24)
American Journal of Orthopsychiatry     Hybrid Journal   (Followers: 4)
American Journal of Psychoanalysis     Hybrid Journal   (Followers: 22)
American Psychologist     Full-text available via subscription   (Followers: 229)
Anales de Psicología     Open Access   (Followers: 2)
Análise Psicológica     Open Access   (Followers: 1)
Análisis y Modificación de Conducta     Open Access   (Followers: 2)
Analysis     Full-text available via subscription   (Followers: 4)
Annual Review of Clinical Psychology     Full-text available via subscription   (Followers: 68)
Annual Review of Organizational Psychology and Organizational Behavior     Full-text available via subscription   (Followers: 28)
Annual Review of Psychology     Full-text available via subscription   (Followers: 223)
Anuario de Psicología / The UB Journal of Psychology     Open Access   (Followers: 1)
Anuario de Psicología Jurídica     Open Access   (Followers: 1)
Anxiety, Stress & Coping: An International Journal     Hybrid Journal   (Followers: 24)
Applied and Preventive Psychology     Hybrid Journal   (Followers: 14)
Applied Cognitive Psychology     Hybrid Journal   (Followers: 69)
Applied Neuropsychology : Adult     Hybrid Journal   (Followers: 33)
Applied Neuropsychology : Child     Hybrid Journal   (Followers: 20)
Applied Psychological Measurement     Hybrid Journal   (Followers: 19)
Applied Psychology     Hybrid Journal   (Followers: 145)
Applied Psychology: Health and Well-Being     Hybrid Journal   (Followers: 49)
Applied Psychophysiology and Biofeedback     Hybrid Journal   (Followers: 8)
Archive for the Psychology of Religion / Archiv für Religionspychologie     Hybrid Journal   (Followers: 20)
Archives of Clinical Neuropsychology     Hybrid Journal   (Followers: 26)
Archives of Scientific Psychology     Open Access   (Followers: 4)
Arquivos Brasileiros de Psicologia     Open Access   (Followers: 1)
Asia Pacific Journal of Counselling and Psychotherapy     Hybrid Journal   (Followers: 8)
Asia-Pacific Psychiatry     Hybrid Journal   (Followers: 4)
Asian American Journal of Psychology     Full-text available via subscription   (Followers: 5)
Asian Journal of Business Ethics     Hybrid Journal   (Followers: 7)
Assessment     Hybrid Journal   (Followers: 11)
Attachment: New Directions in Psychotherapy and Relational Psychoanalysis     Full-text available via subscription   (Followers: 16)
Attention, Perception & Psychophysics     Full-text available via subscription   (Followers: 10)
Australian and Aotearoa New Zealand Psychodrama Association Journal     Full-text available via subscription  
Australian Educational and Developmental Psychologist, The     Full-text available via subscription   (Followers: 7)
Australian Journal of Psychology     Hybrid Journal   (Followers: 18)
Australian Psychologist     Hybrid Journal   (Followers: 12)
Autism Research     Hybrid Journal   (Followers: 32)
Autism Research and Treatment     Open Access   (Followers: 28)
Autism's Own     Open Access   (Followers: 1)
Autism-Open Access     Open Access   (Followers: 5)
Avaliação Psicológica     Open Access  
Avances en Psicologia Latinoamericana     Open Access   (Followers: 1)
Aviation Psychology and Applied Human Factors     Hybrid Journal   (Followers: 19)
Balint Journal     Hybrid Journal   (Followers: 3)
Barbaroi     Open Access  
Basic and Applied Social Psychology     Hybrid Journal   (Followers: 36)
Behavior Analysis in Practice     Full-text available via subscription   (Followers: 6)
Behavior Analysis: Research and Practice     Full-text available via subscription   (Followers: 2)
Behavior Analyst     Hybrid Journal   (Followers: 4)
Behavior Modification     Hybrid Journal   (Followers: 10)
Behavior Research Methods     Hybrid Journal   (Followers: 18)
Behavior Therapy     Hybrid Journal   (Followers: 47)
Behavioral Development Bulletin     Full-text available via subscription  
Behavioral Interventions     Hybrid Journal   (Followers: 9)
Behavioral Neuroscience     Full-text available via subscription   (Followers: 54)
Behavioral Sciences & the Law     Hybrid Journal   (Followers: 24)
Behavioral Sleep Medicine     Hybrid Journal   (Followers: 6)
Behaviormetrika     Hybrid Journal  
Behaviour     Hybrid Journal   (Followers: 12)
Behaviour Research and Therapy     Hybrid Journal   (Followers: 17)
Behavioural and Cognitive Psychotherapy     Hybrid Journal   (Followers: 126)
Behavioural Processes     Hybrid Journal   (Followers: 7)
Biofeedback     Hybrid Journal   (Followers: 4)
BioPsychoSocial Medicine     Open Access   (Followers: 6)
BMC Psychology     Open Access   (Followers: 16)
Body, Movement and Dance in Psychotherapy: An International Journal for Theory, Research and Practice     Hybrid Journal   (Followers: 10)
Boletim Academia Paulista de Psicologia     Open Access  
Boletim de Psicologia     Open Access  
Brain Informatics     Open Access  
British Journal of Clinical Psychology     Full-text available via subscription   (Followers: 137)
British Journal of Developmental Psychology     Full-text available via subscription   (Followers: 36)
British Journal of Educational Psychology     Hybrid Journal   (Followers: 33)
British Journal of Health Psychology     Full-text available via subscription   (Followers: 43)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 20)
British Journal of Psychology     Full-text available via subscription   (Followers: 59)
British Journal of Psychotherapy     Hybrid Journal   (Followers: 67)
British Journal of Social Psychology     Full-text available via subscription   (Followers: 33)
Burnout Research     Open Access   (Followers: 7)
Cadernos de psicanálise (Rio de Janeiro)     Open Access  
Cadernos de Psicologia Social do Trabalho     Open Access  
Canadian Art Therapy Association     Hybrid Journal  
Canadian Journal of Behavioural Science     Full-text available via subscription   (Followers: 5)
Canadian Journal of Experimental Psychology     Full-text available via subscription   (Followers: 14)
Canadian Psychology / Psychologie canadienne     Full-text available via subscription   (Followers: 13)
Case Studies in Sport and Exercise Psychology     Hybrid Journal  
Cendekia : Jurnal Kependidikan dan Kemasyarakatan     Open Access  
Child Development Perspectives     Hybrid Journal   (Followers: 28)
Child Development Research     Open Access   (Followers: 16)
Ciencia Cognitiva     Open Access   (Followers: 2)
Ciencia e Interculturalidad     Open Access  
Ciências & Cognição     Open Access  
Ciencias Psicológicas     Open Access  
Clínica y Salud     Open Access  
Clinical Medicine Insights : Psychiatry     Open Access   (Followers: 10)
Clinical Practice in Pediatric Psychology     Full-text available via subscription   (Followers: 10)
Clinical Psychological Science     Hybrid Journal   (Followers: 12)
Clinical Psychologist     Hybrid Journal   (Followers: 17)
Clinical Psychology & Psychotherapy     Hybrid Journal   (Followers: 70)
Clinical Psychology and Special Education     Open Access   (Followers: 1)
Clinical Psychology Review     Hybrid Journal   (Followers: 36)
Clinical Psychology: Science and Practice     Hybrid Journal   (Followers: 20)
Clinical Schizophrenia & Related Psychoses     Full-text available via subscription   (Followers: 8)
Coaching Psykologi - The Danish Journal of Coaching Psychology     Open Access   (Followers: 1)
Cogent Psychology     Open Access  
Cógito     Open Access  
Cognition & Emotion     Hybrid Journal   (Followers: 37)
Cognitive Behaviour Therapy     Hybrid Journal   (Followers: 14)
Cognitive Neuropsychology     Hybrid Journal   (Followers: 28)
Cognitive Psychology     Hybrid Journal   (Followers: 64)
Cognitive Research : Principles and Implications     Open Access   (Followers: 2)
Consciousness and Cognition     Hybrid Journal   (Followers: 30)
Construção Psicopedagógica     Open Access  
Consulting Psychology Journal : Practice and Research     Full-text available via subscription   (Followers: 3)
Contagion : Journal of Violence, Mimesis, and Culture     Full-text available via subscription   (Followers: 7)
Contemporary Educational Psychology     Hybrid Journal   (Followers: 22)
Contemporary School Psychology     Hybrid Journal   (Followers: 4)
Contextos Clínicos     Open Access  
Counseling Outcome Research and Evaluation     Hybrid Journal   (Followers: 10)
Counseling Psychologist     Hybrid Journal   (Followers: 15)
Counseling Psychology and Psychotherapy     Open Access   (Followers: 8)
Counselling and Psychotherapy Research : Linking research with practice     Hybrid Journal   (Followers: 21)
Counselling and Values     Hybrid Journal   (Followers: 2)
Counselling Psychology Quarterly     Hybrid Journal   (Followers: 10)
Couple and Family Psychoanalysis     Full-text available via subscription   (Followers: 1)
Couple and Family Psychology : Research and Practice     Full-text available via subscription   (Followers: 5)
Creativity Research Journal     Hybrid Journal   (Followers: 20)
Creativity. Theories - Research - Applications     Open Access   (Followers: 2)
Criminal Justice Ethics     Hybrid Journal   (Followers: 7)
Cuadernos de Neuropsicología     Open Access   (Followers: 1)
Cuadernos de Psicologia del Deporte     Open Access  
Cuadernos de Psicopedagogía     Open Access  
Cultural Diversity and Ethnic Minority Psychology     Full-text available via subscription   (Followers: 13)
Cultural-Historical Psychology     Open Access   (Followers: 1)
Culturas Psi     Open Access  
Culture and Brain     Hybrid Journal   (Followers: 4)
Current Addiction Reports     Hybrid Journal   (Followers: 12)
Current Behavioral Neuroscience Reports     Hybrid Journal   (Followers: 2)
Current Directions In Psychological Science     Hybrid Journal   (Followers: 51)
Current Opinion in Behavioral Sciences     Hybrid Journal   (Followers: 2)
Current Opinion in Psychology     Hybrid Journal   (Followers: 4)
Current Psychological Research     Hybrid Journal   (Followers: 13)
Current Psychology     Hybrid Journal   (Followers: 15)
Current psychology letters     Open Access   (Followers: 2)
Current Research in Psychology     Open Access   (Followers: 20)
Cyberpsychology, Behavior, and Social Networking     Hybrid Journal   (Followers: 15)
Decision     Full-text available via subscription   (Followers: 3)
Depression and Anxiety     Hybrid Journal   (Followers: 16)
Depression Research and Treatment     Open Access   (Followers: 13)
Developmental Cognitive Neuroscience     Open Access   (Followers: 18)
Developmental Neuropsychology     Hybrid Journal   (Followers: 16)
Developmental Psychobiology     Hybrid Journal   (Followers: 9)
Developmental Psychology     Full-text available via subscription   (Followers: 45)
Diagnostica     Hybrid Journal   (Followers: 2)
Dialectica     Hybrid Journal   (Followers: 1)
Discourse     Full-text available via subscription   (Followers: 9)
Diversitas: Perspectivas en Psicologia     Open Access  
Drama Therapy Review     Hybrid Journal   (Followers: 1)
Dreaming     Full-text available via subscription   (Followers: 11)
Drogues, santé et société     Full-text available via subscription  
Dynamics of Asymmetric Conflict: Pathways toward terrorism and genocide     Hybrid Journal   (Followers: 13)
Ecopsychology     Hybrid Journal   (Followers: 6)
ECOS - Estudos Contemporâneos da Subjetividade     Open Access  
Educational Psychology Review     Hybrid Journal   (Followers: 27)
Educational Psychology: An International Journal of Experimental Educational Psychology     Hybrid Journal   (Followers: 48)
Educazione sentimentale     Full-text available via subscription  
Electronic Journal of Research in Educational Psychology     Open Access   (Followers: 7)
Elpis - Czasopismo Teologiczne Katedry Teologii Prawosławnej Uniwersytetu w Białymstoku     Open Access  
Emotion     Full-text available via subscription   (Followers: 34)
Emotion Review     Hybrid Journal   (Followers: 20)
En-Claves del pensamiento     Open Access   (Followers: 1)
Enseñanza e Investigacion en Psicologia     Open Access  
Epiphany     Open Access   (Followers: 3)
Escritos de Psicología : Psychological Writings     Open Access   (Followers: 2)

        1 2 3 4 5        [Sort by number of followers]   [Restore default list]

Journal Cover Current Opinion in Behavioral Sciences
  [2 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 2352-1546
   Published by Elsevier Homepage  [3043 journals]
  • Probabilistic association learning in schizophrenia
    • Authors: Thomas W Weickert
      Pages: 1 - 8
      Abstract: Publication date: April 2018
      Source:Current Opinion in Behavioral Sciences, Volume 20
      Author(s): Thomas W Weickert
      Probabilistic association learning is a form of non-declarative learning that involves the gradual acquisition of cue-outcome associations based on feedback and is dependent on frontal-striatal activity in healthy adults. Prefrontal cortex dysfunction has been established in schizophrenia; however, striatal dysfunction is often ignored or attributed to antipsychotic effects. Probabilistic association learning is typically impaired in schizophrenia. Neuroimaging studies have shown reduced frontal-striatal activity in patients with schizophrenia; although a proportion of patients with schizophrenia who can learn the probabilistic associations utilize an alternate neural network that includes the parahippocampal gyrus/hippocampus. Many studies support the hypothesis that probabilistic association learning impairment can be an intrinsic characteristic of the illness. Studies have begun to identify the molecular mechanisms underpinning probabilistic association learning deficits in schizophrenia which include the influence of dopamine, neurotrophins and estrogen.

      PubDate: 2017-09-10T02:46:21Z
      DOI: 10.1016/j.cobeha.2017.08.015
      Issue No: Vol. 20 (2017)
  • Habits under stress: mechanistic insights across different types of
    • Authors: Lisa Wirz; Mario Bogdanov; Lars Schwabe
      Pages: 9 - 16
      Abstract: Publication date: April 2018
      Source:Current Opinion in Behavioral Sciences, Volume 20
      Author(s): Lisa Wirz, Mario Bogdanov, Lars Schwabe
      Learning can be controlled by reflective, ‘cognitive’ or reflexive, ‘habitual’ systems. An essential question is what factors determine which system governs behavior. Here we review recent evidence from navigation, classification, and instrumental learning, demonstrating that stressful events induce a shift from cognitive to habitual control of learning. We propose that this shift, mediated by noradrenaline and glucocorticoids acting through mineralocorticoid receptors, is orchestrated by the amygdala. Although generally adaptive for coping with acute stress, the bias toward habits comes at the cost of reduced flexibility of learning and may ultimately contribute to stress-related psychopathologies.

      PubDate: 2017-09-21T15:44:57Z
      DOI: 10.1016/j.cobeha.2017.08.009
      Issue No: Vol. 20 (2017)
  • Emotional modulation of habit memory: neural mechanisms and implications
           for psychopathology
    • Authors: Mark G Packard; Jarid Goodman; Reed L Ressler
      Pages: 25 - 32
      Abstract: Publication date: April 2018
      Source:Current Opinion in Behavioral Sciences, Volume 20
      Author(s): Mark G Packard, Jarid Goodman, Reed L Ressler
      Emotional arousal modulates the function of multiple memory systems. Extensive evidence employing both lower animals (i.e. rats and mice) and human subjects indicates that behavioral and pharmacological stressors enhance habit memory mediated by the dorsolateral striatum (DLS) at the expense of hippocampus-dependent cognitive memory. It has been the goal of several recent studies to uncover the neural mechanisms underlying this emotional enhancement of habit memory. Among the mechanisms implicated in this phenomenon are a modulatory role of the amygdala, stress hormones, and a competitive interaction between DLS-dependent and hippocampus-dependent memory systems. Studies investigating the emotional modulation of habit memory may be helpful for understanding how stress and anxiety promote maladaptive habitual behaviors in some human psychopathologies (e.g. post-traumatic stress disorder, drug addiction/relapse, etc.).

      PubDate: 2017-10-05T20:28:25Z
      DOI: 10.1016/j.cobeha.2017.09.004
      Issue No: Vol. 20 (2017)
  • On the interaction of social affect and cognition: empathy, compassion and
           theory of mind
    • Authors: Katrin Preckel; Philipp Kanske; Tania Singer
      Pages: 1 - 6
      Abstract: Publication date: February 2018
      Source:Current Opinion in Behavioral Sciences, Volume 19
      Author(s): Katrin Preckel, Philipp Kanske, Tania Singer
      Empathy, compassion and Theory of Mind (ToM) are central topics in social psychology and neuroscience. While empathy enables the sharing of others’ emotions and may result in empathic distress, a maladaptive form of empathic resonance, or compassion, a feeling of warmth and concern for others, ToM provides cognitive understanding of someone else's thoughts or intentions. These socio-affective and socio-cognitive routes to understanding others are subserved by separable, independent brain networks. Nonetheless they are jointly required in many complex social situations. A process that is critical for both, empathy and ToM, is self-other distinction, which is implemented in different temporoparietal brain regions. Thus, adaptive social behavior is a result of dynamic interplay of socio-affective and socio-cognitive processes.

      PubDate: 2017-08-04T09:17:07Z
      DOI: 10.1016/j.cobeha.2017.07.010
      Issue No: Vol. 19 (2017)
  • The positivity effect: a negativity bias in youth fades with age
    • Authors: Laura L Carstensen; Marguerite DeLiema
      Pages: 7 - 12
      Abstract: Publication date: February 2018
      Source:Current Opinion in Behavioral Sciences, Volume 19
      Author(s): Laura L Carstensen, Marguerite DeLiema
      Relative to younger adults, older adults attend to and remember positive information more than negative information. This shift from a negativity bias in younger age to a preference for positive information in later life is termed the ‘positivity effect.’ Based on nearly two decades of research and recent evidence from neuroscience, we argue that the effect reflects age-related changes in motivation that direct behavior and cognitive processing rather than neural or cognitive decline. Understanding the positivity effect, including conditions that reduce and enhance it, can inform effective public health and educational messages directed at older people.

      PubDate: 2017-09-04T16:00:41Z
      DOI: 10.1016/j.cobeha.2017.07.009
      Issue No: Vol. 19 (2017)
  • The influence of physiological signals on cognition
    • Authors: Hugo D Critchley; Sarah N Garfinkel
      Pages: 13 - 18
      Abstract: Publication date: February 2018
      Source:Current Opinion in Behavioral Sciences, Volume 19
      Author(s): Hugo D Critchley, Sarah N Garfinkel
      Dynamic changes in bodily physiology influence perceptual, affective and cognitive processes. Behaviour is shaped by interoception, that is the processing of afferent information concerning internal state. Physiological signals, such as heartbeats, selectively facilitate, compete with, or inhibit, information processing across psychological domains, often providing a proximate mechanism for pervasive effects of emotions. There is increasing recognition of these influences on cognition, and a growing knowledge concerning underlying neural substrates. Recent theoretical models, notably interoceptive predictive coding, apply concepts of the ‘Bayesian brain’ and active inference to feeling states, agency and embodiment. Here we describe the impact of interoceptive signals on cognitive processes.

      PubDate: 2017-09-16T04:36:10Z
      DOI: 10.1016/j.cobeha.2017.08.014
      Issue No: Vol. 19 (2017)
  • Understanding emotion with brain networks
    • Authors: Luiz Pessoa
      Pages: 19 - 25
      Abstract: Publication date: February 2018
      Source:Current Opinion in Behavioral Sciences, Volume 19
      Author(s): Luiz Pessoa
      Emotional processing appears to be interlocked with perception, cognition, motivation, and action. These interactions are supported by the brain's large-scale nonmodular anatomical and functional architectures. An important component of this organization involves characterizing the brain in terms of networks. Two aspects of brain networks are discussed: brain networks should be considered as inherently overlapping (not disjoint) and dynamic (not static). Recent work on multivariate pattern analysis shows that affective dimensions can be detected in the activity of distributed neural systems that span cortical and subcortical regions. More broadly, the paper considers how we should think of causation in complex systems like the brain, so as to inform the relationship between emotion and other mental aspects, such as cognition.

      PubDate: 2017-10-05T20:28:25Z
      DOI: 10.1016/j.cobeha.2017.09.005
      Issue No: Vol. 19 (2017)
  • The role of attention bias to threat in anxiety: mechanisms, modulators
           and open questions
    • Authors: Hadas Okon-Singer
      Pages: 26 - 30
      Abstract: Publication date: February 2018
      Source:Current Opinion in Behavioral Sciences, Volume 19
      Author(s): Hadas Okon-Singer
      Individuals at risk of developing anxiety and those with (sub-) clinical anxiety have robust attention biases to irrelevant threats, among them facilitated engagement, difficulty in disengaging and later avoidance of threat. These attention biases are thought to be associated with abnormal activation and connectivity in prefrontal-limbic-sensory neural circuits. Attention biases were shown to be related to other processing biases, but more empirical data are needed to better understand the causal role of each processing bias and to develop effective treatments. These attention biases have further been suggested as playing a causal role in anxiety, although mixed findings from attention bias modification studies challenge this contention.

      PubDate: 2017-10-05T20:28:25Z
      DOI: 10.1016/j.cobeha.2017.09.008
      Issue No: Vol. 19 (2017)
  • Stress, sleep, and the selective consolidation of emotional memories
    • Authors: Jessica D Payne; Elizabeth A Kensinger
      Pages: 36 - 43
      Abstract: Publication date: February 2018
      Source:Current Opinion in Behavioral Sciences, Volume 19
      Author(s): Jessica D Payne, Elizabeth A Kensinger
      Memory consolidation processes can be highly selective. For example, emotional aspects of events tend to be consolidated more readily than other, more neutral aspects. We first describe evidence that the sleeping brain provides an ideal environment for memory consolidation, and that active, as opposed to passive, sleep-based consolidation processes are particularly important in explaining why emotional memories are retained so well. We then briefly review evidence that elevated levels of stress support emotional memory consolidation. Finally, we propose a working model that describes why stress at encoding may set the stage for sleep to etch emotional memories in the brain on a lasting, if not permanent, basis, and we present recent data to support this model.

      PubDate: 2017-10-12T21:36:35Z
      DOI: 10.1016/j.cobeha.2017.09.006
      Issue No: Vol. 19 (2017)
  • Flexibility in the face of fear: hippocampal–prefrontal regulation
           of fear and avoidance
    • Authors: Justin M Moscarello; Stephen Maren
      Pages: 44 - 49
      Abstract: Publication date: February 2018
      Source:Current Opinion in Behavioral Sciences, Volume 19
      Author(s): Justin M Moscarello, Stephen Maren
      Generating appropriate defensive behaviors in the face of threat is essential to survival. Although many of these behaviors are ‘hard-wired’, they are also flexible. For example, Pavlovian fear conditioning generates learned defensive responses, such as conditioned freezing, that can be suppressed through extinction. The expression of extinguished responses is highly context-dependent, allowing animals to engage behavioral responses appropriate to the contexts in which threats are encountered. Likewise, animals and humans will avoid noxious outcomes if given the opportunity. In instrumental avoidance learning, for example, animals overcome conditioned defensive responses, including freezing, in order to actively avoid aversive stimuli. Recent work has greatly advanced understanding of the neural basis of these phenomena and has revealed common circuits involved in the regulation of fear. Specifically, the hippocampus and medial prefrontal cortex play pivotal roles in gating fear reactions and instrumental actions, mediated by the amygdala and nucleus accumbens, respectively. Because an inability to adaptively regulate fear and defensive behavior is a central component of many anxiety disorders, the brain circuits that promote flexible responses to threat are of great clinical significance.

      PubDate: 2017-10-12T21:36:35Z
      DOI: 10.1016/j.cobeha.2017.09.010
      Issue No: Vol. 19 (2017)
  • Policy and population behavior in the age of Big Data
    • Authors: Kai Ruggeri; Hojeong Yoon; Ondřej Kácha; Sander van der Linden; Peter Muennig
      Pages: 1 - 6
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Kai Ruggeri, Hojeong Yoon, Ondřej Kácha, Sander van der Linden, Peter Muennig
      Policies are large-scale interventions that typically aim to influence behaviors and decision-making across entire populations to obtain a desired outcome. With the rapid increase in Big Data and its growing influence on policy, there is an emerging opportunity to produce meaningful and efficient mechanisms for improving public policy outcomes. However, there are still considerable gaps between existing theories in the behavioral sciences and evidence generated by Big Data, including the representation of key groups within the population. We outline the need for replicating established behavioral insights through Big Data that should coincide with clear ethical standards for implementing such approaches through evidence-based policymaking.

      PubDate: 2017-06-02T23:32:22Z
      DOI: 10.1016/j.cobeha.2017.05.010
      Issue No: Vol. 18 (2017)
  • Using Big Data as a window into consumers’ psychology
    • Authors: Sandra C Matz; Oded Netzer
      Pages: 7 - 12
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Sandra C Matz, Oded Netzer
      The rise of ‘Big Data’ had a big impact on marketing research and practice. In this article, we first highlight sources of useful consumer information that are now available at large scale and very little or no cost. We subsequently discuss how this information – with the help of new analytical techniques – can be translated into valuable insights on consumers’ psychological states and traits that can, in turn, be used to inform marketing strategy. Finally, we discuss opportunities and challenges related to the use of Big Data as a window into consumers’ psychology, and provide recommendations for how to implement related technologies in a way that benefits both businesses and consumers.

      PubDate: 2017-05-28T10:26:59Z
      DOI: 10.1016/j.cobeha.2017.05.009
      Issue No: Vol. 18 (2017)
  • The datafication of talent: how technology is advancing the science of
           human potential at work
    • Authors: Tomas Chamorro-Premuzic; Reece Akhtar; Dave Winsborough; Ryne A Sherman
      Pages: 13 - 16
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Tomas Chamorro-Premuzic, Reece Akhtar, Dave Winsborough, Ryne A Sherman
      This article reviews three innovations that not only have the potential to revolutionize the way organizations identify, develop and engage talent, but are also emerging as tools used by practitioners and firms. Specifically, we discuss (a) machine-learning algorithms that can evaluate digital footprints, (b) social sensing technology that can automatically decode verbal and nonverbal behavior to infer personality and emotional states, and (c) gamified assessment tools that focus on enhancing the user-experience in personnel selection. The strengths and limitations of each of these approaches are discussed, and practical and theoretical implications are considered.

      PubDate: 2017-06-08T02:21:26Z
      DOI: 10.1016/j.cobeha.2017.04.007
      Issue No: Vol. 18 (2017)
  • Video capture of human behaviors: toward a Big Data approach
    • Authors: Louis Tay; Andrew T Jebb; Sang Eun Woo
      Pages: 17 - 22
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Louis Tay, Andrew T Jebb, Sang Eun Woo
      The lowering costs of cameras and data storage have led to an increasing volume of video data from a wide variety of sources. In this review, we analyze four sources of video data (i.e., traditional laboratory cameras, wearable cameras, public cameras, and private cameras), highlighting the strengths and limitations of each source regarding its utility for capturing human behaviors. While there will be technical and ethical challenges in using video camera data for human behavior research, we see promise in increased fidelity for assessing and analyzing various types of human behaviors, including behavioral occurrence, change, and development, and socio-ecological contexts. We encourage the judicious collection and secure storage of large-scale video data and the development of integrative video analytics for human behavior research.

      PubDate: 2017-06-22T20:38:47Z
      DOI: 10.1016/j.cobeha.2017.05.026
      Issue No: Vol. 18 (2017)
  • Big data and student engagement among vulnerable youth: A review
    • Authors: Ryan J Watson; John L Christensen
      Pages: 23 - 27
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Ryan J Watson, John L Christensen
      Vulnerable (e.g., LGBTQ, homeless, disabled, racial/ethnic minority, and/or poor) youth disproportionally report challenges at school compared to their majority counterparts, but we are not always sure of the best ways to support these students. How might big data help to ameliorate experiences for vulnerable students who are not part of the majority (e.g., White, middle class, straight)' We review current ways that using big data can promote student engagement specific to school experiences where vulnerable youth share a disproportional amount of burden. We review extant uses of big data to track, involve, and monitor student progress and attendance. Additionally, we review the potential privacy implications and threats to students’ civil liberties.

      PubDate: 2017-07-26T08:03:17Z
      DOI: 10.1016/j.cobeha.2017.07.004
      Issue No: Vol. 18 (2017)
  • Using Big Data to study subjective well-being
    • Authors: Maike Luhmann
      Pages: 28 - 33
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Maike Luhmann
      Subjective well-being comprises emotional experiences and life satisfaction. This article reviews how Big Data can be used to measure, study, and change subjective well-being. Most Big Data approaches measure subjective well-being by analyzing language patterns on Twitter or Facebook. These approaches provide satisfactory accuracy for emotional experiences, but not yet for life satisfaction. Other measurement approaches include the analysis of other digital traces such as Facebook profiles and the analysis of mobile phone usage patterns. Big Data can be used to study subjective well-being on individual levels, regional levels, and across time. Potentials and limitations of using Big Data in studies on subjective well-being are discussed.

      PubDate: 2017-07-26T08:03:17Z
      DOI: 10.1016/j.cobeha.2017.07.006
      Issue No: Vol. 18 (2017)
  • What big data can do for treatment in psychiatry
    • Authors: Claire M .Gillan; Robert Whelan
      Pages: 34 - 42
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Claire M .Gillan, Robert Whelan
      Treatments for psychiatric disorders are only as effective as the precision with which we administer them. We have treatments that work; we just cannot always accurately predict who they are going to work for and why. In this article, we discuss how big data can help identify robust, reproducible and generalizable predictors of treatment response in psychiatry. Specifically, we focus on how machine-learning approaches can facilitate a move beyond discovery studies and toward model validation. We will highlight some recent exemplary studies in this area, describe how one can assess the merits of studies reporting treatment biomarkers, and discuss what we consider to be best practice for prediction research in psychiatry.

      PubDate: 2017-07-26T08:03:17Z
      DOI: 10.1016/j.cobeha.2017.07.003
      Issue No: Vol. 18 (2017)
  • Detecting depression and mental illness on social media: an integrative
    • Authors: Sharath Chandra Guntuku; David B Yaden; Margaret L Kern; Lyle H Ungar; Johannes C Eichstaedt
      Pages: 43 - 49
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Sharath Chandra Guntuku, David B Yaden, Margaret L Kern, Lyle H Ungar, Johannes C Eichstaedt
      Although rates of diagnosing mental illness have improved over the past few decades, many cases remain undetected. Symptoms associated with mental illness are observable on Twitter, Facebook, and web forums, and automated methods are increasingly able to detect depression and other mental illnesses. In this paper, recent studies that aimed to predict mental illness using social media are reviewed. Mentally ill users have been identified using screening surveys, their public sharing of a diagnosis on Twitter, or by their membership in an online forum, and they were distinguishable from control users by patterns in their language and online activity. Automated detection methods may help to identify depressed or otherwise at-risk individuals through the large-scale passive monitoring of social media, and in the future may complement existing screening procedures.

      PubDate: 2017-08-04T09:17:07Z
      DOI: 10.1016/j.cobeha.2017.07.005
      Issue No: Vol. 18 (2017)
  • Music and big data: a new frontier
    • Authors: David M Greenberg; Peter J Rentfrow
      Pages: 50 - 56
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): David M Greenberg, Peter J Rentfrow
      There is an unprecedented opportunity for psychologists and behavioral scientists to merge prior theory and research with big data to develop profound insights into the way people use and are affected by music. There are now streaming services that store data from millions of people on their day-to-day musical listening habits; song-level data that tags sonic and emotion attributes for millions of songs; wearable devices (e.g. watches and earbuds) that capture physiological metrics including heartrate and galvanic skin response; mobile technologies that track a person's moment-to-moment activity, location, mood, and sociability; and survey instruments and digital footprints that capture personality and other biopsychosocial metrics in just under a minute. We propose that merging these technologies can create a new age in music psychology that exponentially expands the present knowledge and scope of the field. The new data will advance general areas of music psychology, but will also provide an important opportunity to establish new knowledge about health and well-being that can have a direct impact on the public. By scientifically mapping how music changes behavior and health in the short-term and long-term, Big Music Data can lead to future health initiatives including the development of new evidence-based treatment modalities to be utilized by medical physicians and mental health practitioners. Importantly, industry and streaming services can use these new insights to optimize their technologies and develop music-based health and wellness platforms aimed at improving the well-being of its users, ultimately impacting the way music is used by millions of people globally.

      PubDate: 2017-08-04T09:17:07Z
      DOI: 10.1016/j.cobeha.2017.07.007
      Issue No: Vol. 18 (2017)
  • Big Data approaches in social and behavioral science: four key trade-offs
           and a call for integration
    • Authors: J Mahmoodi; M Leckelt; MWH van Zalk; K Geukes; MD Back
      Pages: 57 - 62
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): J Mahmoodi, M Leckelt, MWH van Zalk, K Geukes, MD Back
      Big Data approaches have given rise to novel methodological tools to investigate human decisions and behaviors beyond what is possible with traditional forms of analysis. Like any other paradigm in the social and behavioral sciences, however, Big Data is not immune to a number of typical trade-offs: (1) Prediction versus explanation, pertaining to the overall research goals; (2) induction versus deduction, regarding the epistemological focus; (3) bigness versus representativeness in sampling approaches; and (4) data access versus scientific independence, addressing the forms of data usage. In this paper, we discuss these trade-offs and how Big Data and traditional approaches typically relate to them, and propose ways to overcome each trade-off by integrating advantages of different research approaches in the social and behavioral sciences with Big Data.

      PubDate: 2017-08-04T09:17:07Z
      DOI: 10.1016/j.cobeha.2017.07.001
      Issue No: Vol. 18 (2017)
  • Language-based personality: a new approach to personality in a digital
    • Authors: Ryan L Boyd; James W Pennebaker
      Pages: 63 - 68
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Ryan L Boyd, James W Pennebaker
      Personality is typically defined as the consistent set of traits, attitudes, emotions, and behaviors that people have. For several decades, a majority of researchers have tacitly agreed that the gold standard for measuring personality was with self-report questionnaires. Surveys are fast, inexpensive, and display beautiful psychometric properties. A considerable problem with this method, however, is that self-reports reflect only one aspect of personality—people's explicit theories of what they think they are like. We propose a complementary model that draws on a big data solution: the analysis of the words people use. Language use is relatively reliable over time, internally consistent, and differs considerably between people. Language-based measures of personality can be useful for capturing/modeling lower-level personality processes that are more closely associated with important objective behavioral outcomes than traditional personality measures. Additionally, the increasing availability of language data and advances in both statistical methods and technological power are rapidly creating new opportunities for the study of personality at ‘big data’ scale. Such opportunities allow researchers to not only better understand the fundamental nature of personality, but at a scale never before imagined in psychological research.

      PubDate: 2017-08-04T09:17:07Z
      DOI: 10.1016/j.cobeha.2017.07.017
      Issue No: Vol. 18 (2017)
  • The quest for the entrepreneurial culture: psychological Big Data in
           entrepreneurship research
    • Authors: Martin Obschonka
      Pages: 69 - 74
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Martin Obschonka
      Entrepreneurship is an important topic of our time due to its effect on economic development and social change. However, economic research struggled to explain entrepreneurial activities of regions with standard economic models, assuming perfect rationality of individuals and populations. Economic research has thus developed a strong interest in understanding the more ‘hidden’ informal institutions such as cultural factors. Here, a new generation of psychological research based on Big Data delivers a series of interesting results. Drawing from a personality-based approach to assess and to study the effects and origins of an entrepreneurial culture, this new research illustrates the great potential of psychological Big Data for economic, sociological, geographical, and psychological approaches to entrepreneurship. However, future research should employ new, complex analytic methods that utilise the full potential of Big Data.

      PubDate: 2017-09-04T16:00:41Z
      DOI: 10.1016/j.cobeha.2017.07.014
      Issue No: Vol. 18 (2017)
  • Social networks and financial outcomes
    • Authors: Raghavendra Rau
      Pages: 75 - 78
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Raghavendra Rau
      Academic research on whether social networks influence financial outcomes is still undeveloped. The literature has typically focused on three major questions—whether social networks affect investor behavior, firm behavior, or intermediary behavior. Because the theoretical framework in finance is organized around an accepted set of paradigms, and because data on intermediaries and firms have been publicly available for a long time, the financial economics area has just started using big data in its analysis. This note describes the extant research in this area and outlines how the field is likely to evolve.

      PubDate: 2017-09-04T16:00:41Z
      DOI: 10.1016/j.cobeha.2017.08.010
      Issue No: Vol. 18 (2017)
  • Using big data to advance personality theory
    • Authors: Wiebke Bleidorn; Christopher J Hopwood; Aidan GC Wright
      Pages: 79 - 82
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Wiebke Bleidorn, Christopher J Hopwood, Aidan GC Wright
      Big data has led to remarkable advances in society. One of the most exciting applications in psychological science has been the development of computer-based assessment tools to assess human behavior and personality traits. Thus far, machine learning approaches to personality assessment have been focused on maximizing predictive validity, but have been underused to advance our understanding of personality. In this paper, we review recent machine learning studies of personality and discuss recommendations for how big data and machine learning research can be used to advance personality theory.

      PubDate: 2017-09-04T16:00:41Z
      DOI: 10.1016/j.cobeha.2017.08.004
      Issue No: Vol. 18 (2017)
  • Smartphone sensing methods for studying behavior in everyday life
    • Authors: Gabriella M Harari; Sandrine R Müller; Min SH Aung; Peter J Rentfrow
      Pages: 83 - 90
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Gabriella M Harari, Sandrine R Müller, Min SH Aung, Peter J Rentfrow
      Human behavior is the focus of many studies in the social, health, and behavioral sciences. Yet, few studies use behavioral observation methods to collect objective measures of behavior as it occurs in daily life, out in the real world — presumably the context of ultimate interest. Here, we provide a review of recent studies focused on measuring human behavior using smartphones and their embedded mobile sensors. To draw attention to current advances in the field of smartphone sensing, we describe the daily behaviors captured using these methods, which include movement behaviors (physical activity, mobility patterns), social behaviors (face-to-face encounters, computer-mediated communications), and other daily activities (non-mediated and mediated activities). We conclude by pointing to promising areas of future research for studies using Smartphone Sensing Methods (SSMs) in the behavioral sciences.

      PubDate: 2017-09-10T02:46:21Z
      DOI: 10.1016/j.cobeha.2017.07.018
      Issue No: Vol. 18 (2017)
  • Studying political communication on Twitter: the case for small data
    • Authors: Joyojeet Pal; A'Ndre Gonawela
      Pages: 97 - 102
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Joyojeet Pal, A'Ndre Gonawela
      Big data has dramatically changed the study of political communications online as researchers access massive feeds of data on social media behavior, networks, and language. However, the nature political communication remains inherently message-driven, where the composition, timing, and metaphor are necessary components of the overall message. This article surveys research on political communication on Twitter and classifies it into seven subjective domains of research. The methodological approaches that have been applied toward these domains include quantitative technique studying the size, shape, profile of the networks and their nodes; large-scale data mining techniques applied to study the contents of Twitter messaging; and qualitative methods for in-depth study of messages. Showing that qualitative research methods have extended our understanding of political communications domains, we propose that small data approaches, through interpretive analysis and commentary by human readers, can be coupled with large-scale data analysis for deeper, contextual understanding of political messaging.

      PubDate: 2017-10-12T21:36:35Z
      DOI: 10.1016/j.cobeha.2017.09.009
      Issue No: Vol. 18 (2017)
  • Manipulating memory in space and time
    • Authors: Dheeraj S Roy; Susumu Tonegawa
      Pages: 1 - 6
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Dheeraj S Roy, Susumu Tonegawa
      One of the most fascinating aspects of an animal’s brain is its ability to acquire new information from experience and retain this information over time as memory. The search for physical correlates of memory, the memory engram, has been a longstanding endeavor in modern neurobiology. Recent advances in transgenic and optogenetic tools have enabled the identification, visualization, and manipulations of natural, sensory-evoked, engram cells for a specific memory residing in specific brain regions. These studies are paving the way not only to understand memory mechanisms in unprecedented detail, but also to repair the abnormal state of mind associated with memory by engineering.

      PubDate: 2017-06-08T02:21:26Z
      DOI: 10.1016/j.cobeha.2017.05.020
      Issue No: Vol. 17 (2017)
  • Predicting the past, remembering the future
    • Authors: Samuel J Gershman
      Pages: 7 - 13
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Samuel J Gershman
      Rational analyses of memory suggest that retrievability of past experience depends on its usefulness for predicting the future: memory is adapted to the temporal structure of the environment. Recent research has enriched this view by applying it to semantic memory and reinforcement learning. This paper describes how multiple forms of memory can be linked via common predictive principles, possibly subserved by a shared neural substrate in the hippocampus. Predictive principles offer an explanation for a wide range of behavioral and neural phenomena, including semantic fluency, temporal contiguity effects in episodic memory, and the topological properties of hippocampal place cells.

      PubDate: 2017-06-13T01:33:38Z
      DOI: 10.1016/j.cobeha.2017.05.025
      Issue No: Vol. 17 (2017)
  • Temporal and spatial context in the mind and brain
    • Authors: Marc W Howard
      Pages: 14 - 19
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Marc W Howard
      Theories of episodic memory have long hypothesized that recollection of a specific instance from one's life is mediated by recovery of a neural state of spatiotemporal context. This paper reviews recent theoretical advances in formal models of spatiotemporal context and a growing body of neurophysiological evidence from human imaging studies and animal work that neural populations in the hippocampus and other brain regions support a representation of spatiotemporal context.

      PubDate: 2017-06-13T01:33:38Z
      DOI: 10.1016/j.cobeha.2017.05.022
      Issue No: Vol. 17 (2017)
  • Short-term memory for spatial, sequential and duration information
    • Authors: Sanjay G. Manohar; Yoni Pertzov; Masud Husain
      Pages: 20 - 26
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Sanjay G. Manohar, Yoni Pertzov, Masud Husain
      Space and time appear to play key roles in the way that information is organized in short-term memory (STM). Some argue that they are crucial contexts within which other stored features are embedded, allowing binding of information that belongs together within STM. Here we review recent behavioral, neurophysiological and imaging studies that have sought to investigate the nature of spatial, sequential and duration representations in STM, and how these might break down in disease. Findings from these studies point to an important role of the hippocampus and other medial temporal lobe structures in aspects of STM, challenging conventional accounts of involvement of these regions in only long-term memory.

      PubDate: 2017-06-13T01:33:38Z
      DOI: 10.1016/j.cobeha.2017.05.023
      Issue No: Vol. 17 (2017)
  • Models of spatial and temporal dimensions of memory
    • Authors: Michael E. Hasselmo; James R. Hinman; Holger Dannenberg; Chantal E. Stern
      Pages: 27 - 33
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Michael E. Hasselmo, James R. Hinman, Holger Dannenberg, Chantal E. Stern
      Episodic memory involves coding of the spatial location and time of individual events. Coding of space and time is also relevant to working memory, spatial navigation, and the disambiguation of overlapping memory representations. Neurophysiological data demonstrate that neuronal activity codes the current, past and future location of an animal as well as temporal intervals within a task. Models have addressed how neural coding of space and time for memory function could arise, with both dimensions coded by the same neurons. Neural coding could depend upon network oscillatory and attractor dynamics as well as modulation of neuronal intrinsic properties. These models are relevant to the coding of space and time involving structures including the hippocampus, entorhinal cortex, retrosplenial cortex, striatum and parahippocampal gyrus, which have been implicated in both animal and human studies.

      PubDate: 2017-06-17T02:17:12Z
      DOI: 10.1016/j.cobeha.2017.05.024
      Issue No: Vol. 17 (2017)
  • The pre/parasubiculum: a hippocampal hub for scene-based cognition?
    • Authors: Marshall A Dalton; Eleanor A Maguire
      Pages: 34 - 40
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Marshall A Dalton, Eleanor A Maguire
      Internal representations of the world in the form of spatially coherent scenes have been linked with cognitive functions including episodic memory, navigation and imagining the future. In human neuroimaging studies, a specific hippocampal subregion, the pre/parasubiculum, is consistently engaged during scene-based cognition. Here we review recent evidence to consider why this might be the case. We note that the pre/parasubiculum is a primary target of the parieto-medial temporal processing pathway, it receives integrated information from foveal and peripheral visual inputs and it is contiguous with the retrosplenial cortex. We discuss why these factors might indicate that the pre/parasubiculum has privileged access to holistic representations of the environment and could be neuroanatomically determined to preferentially process scenes.

      PubDate: 2017-06-17T02:17:12Z
      DOI: 10.1016/j.cobeha.2017.06.001
      Issue No: Vol. 17 (2017)
  • Episodic future thinking: mechanisms and functions
    • Authors: Daniel L Schacter; Roland G Benoit; Karl K Szpunar
      Pages: 41 - 50
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Daniel L Schacter, Roland G Benoit, Karl K Szpunar
      Episodic future thinking refers to the capacity to imagine or simulate experiences that might occur in one's personal future. Cognitive, neuropsychological, and neuroimaging research concerning episodic future thinking has accelerated during recent years. This article discusses research that has delineated cognitive and neural mechanisms that support episodic future thinking as well as the functions that episodic future thinking serves. Studies focused on mechanisms have identified a core brain network that underlies episodic future thinking and have begun to tease apart the relative contributions of particular regions in this network, and the specific cognitive processes that they support. Studies concerned with functions have identified several domains in which episodic future thinking produces performance benefits, including decision making, emotion regulation, prospective memory, and spatial navigation.

      PubDate: 2017-06-22T20:38:47Z
      DOI: 10.1016/j.cobeha.2017.06.002
      Issue No: Vol. 17 (2017)
  • Remembering goal locations
    • Authors: B Poucet; V Hok
      Pages: 51 - 56
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): B Poucet, V Hok
      Spatial navigation encompasses the capability to compute various paths leading to one's goal. In order to achieve such a feat, a navigation system must also have access to the animal's current location. Although the latter is well documented with over forty years of research devoted to hippocampal place cells, how the goal location is coded and kept in memory is a much more debated issue. Here, we review evidence that such processing occurs within a small network of structures involving at the very least the hippocampus and the frontal cortex. Indeed, growing evidence suggests that path planning relies on a much more extended neural network, with each of its subcomponent ensuring a specific role in the overall process. We suggest that understanding how goal location is remembered can only be achieved through a better characterization of the time-defined events during path planning at both neural and behavioral levels.

      PubDate: 2017-07-03T06:32:24Z
      DOI: 10.1016/j.cobeha.2017.06.003
      Issue No: Vol. 17 (2017)
  • Temporal context in human fMRI
    • Authors: Fang Wang; Rachel A Diana
      Pages: 57 - 64
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Fang Wang, Rachel A Diana
      Memory for personally experienced events includes temporal context that allows organization and retrieval according to sequence. This review compares fMRI studies of temporal context, assessing the processes required within each paradigm. Prefrontal cortex is important for temporal sequence memory, perhaps due to its role in organizing information online, and relative recency judgments, perhaps due to its role in evaluating familiarity. Hippocampal and parahippocampal regions are also involved in these tasks but make reduced contributions to relative recency when familiarity is diagnostic. Parahippocampal cortex contributions to accurate sequence memory are also reduced when multiple encoding repetitions are used. Finally, implicit temporal memory paradigms show that hippocampal and parahippocampal representations are sensitive to temporal context in the absence of mnemonic task demands.

      PubDate: 2017-07-03T06:32:24Z
      DOI: 10.1016/j.cobeha.2017.06.004
      Issue No: Vol. 17 (2017)
  • Hippocampal hierarchical networks for space, time, and memory
    • Authors: Silvy HP Collin; Branka Milivojevic; Christian F Doeller
      Pages: 71 - 76
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Silvy HP Collin, Branka Milivojevic, Christian F Doeller
      The hippocampus is critically involved in both mapping space as well as the formation of memories for events. Here, we propose that common coding principles in the hippocampus enable spatial, temporal and episodic representations. We discuss recent studies employing novel cognitive tasks as well as newly developed representational analysis techniques which show that both spatial and mnemonic representations can be thought of as networks of interlinked elements, be it locations in space or events in memory. These mnemonic networks share certain characteristics, such as plasticity and hierarchical organisation, which enable structured representation of information while also allowing simultaneous assimilation of new elements. We conclude by outlining possibilities of how neural mechanisms underlying the formation of such networked representations can support the organisation of interlinked information beyond time and space.

      PubDate: 2017-07-19T07:44:32Z
      DOI: 10.1016/j.cobeha.2017.06.007
      Issue No: Vol. 17 (2017)
  • Evidence from amnesia and ageing inform the organization of space and time
           in hippocampal relational representations
    • Authors: Renante Rondina; Jennifer D Ryan
      Pages: 77 - 83
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Renante Rondina, Jennifer D Ryan
      Neuropsychological and neuroimaging findings suggest that spatial and temporal information are supported by distinct, yet overlapping networks that feed information forward to the hippocampus. Oscillatory dynamics may determine whether the hippocampus is biased towards communication with a spatial (slower frequencies) or temporal (faster frequencies) processing network. Behavioural evidence, including explicit reports and findings from eye movement monitoring, reveals that memory for temporal relations influences memory for spatial relations, but spatial memory does not affect memory for temporal relations. Further, the shift in oscillatory frequencies in ageing from slower to faster frequencies may bias the brain towards the encoding and storage of temporal relations, leading to age-related deficits in spatial memory. All together, research suggests that relational information is organized hierarchically in memory, and temporal relations provide the foundation.

      PubDate: 2017-07-26T08:03:17Z
      DOI: 10.1016/j.cobeha.2017.06.009
      Issue No: Vol. 17 (2017)
  • Human spatial navigation: representations across dimensions and scales
    • Authors: Arne D Ekstrom; Eve A Isham
      Pages: 84 - 89
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Arne D Ekstrom, Eve A Isham
      Humans, like many other species, employ three fundamental forms of strategies to navigate: allocentric, egocentric, and beacon. Here, we review each of these different forms of navigation with a particular focus on how our high-resolution visual system contributes to their unique properties. We also consider how we might employ allocentric and egocentric representations, in particular, across different spatial dimensions, such as 1-D versus 2-D. Our high acuity visual system also leads to important considerations regarding the scale of space we are navigating (e.g. smaller, room-sized ‘vista’ spaces or larger city-sized ‘environmental’ spaces). We conclude that a hallmark of human spatial navigation is our ability to employ these representations systems in a parallel and flexible manner, which differ both as a function of dimension and spatial scale.

      PubDate: 2017-09-28T19:01:16Z
      DOI: 10.1016/j.cobeha.2017.06.005
      Issue No: Vol. 17 (2017)
  • Memory allocation and integration in rodents and humans
    • Authors: Margaret L Schlichting; Paul W Frankland
      Pages: 90 - 98
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Margaret L Schlichting, Paul W Frankland
      In rodents, recent studies indicate that levels of neuronal excitability dictate which cell populations encode a memory for a particular event (i.e. memory allocation), and whether memories for multiple events become linked. In human subjects, imaging methods now allow for detection of brain responses to specific events, and therefore make it possible to address whether analogous processes are engaged. Similar to rodents, these studies reveal that neural engagement prior to learning influences encoding in humans. Furthermore, they provide evidence that events that share content, or occur close together in time, become linked during learning or during later ‘offline’ processing (i.e. memory integration). These concepts of memory allocation and memory integration provide a common mechanistic framework for considering how knowledge emerges in rodents and humans.

      PubDate: 2017-09-04T16:00:41Z
      DOI: 10.1016/j.cobeha.2017.07.013
      Issue No: Vol. 17 (2017)
  • Comparing the non-linguistic hallmarks of episodic memory systems in
           corvids and children
    • Authors: Sarah A Jelbert; Nicola S Clayton
      Pages: 99 - 106
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Sarah A Jelbert, Nicola S Clayton
      Much of the debate over whether food-caching corvids possess an episodic memory system—comparable to that of humans—has focussed on these birds’ memories for what was cached, where and when. Here, we highlight that corvids also exhibit a number of other behaviours that could potentially be considered non-linguistic hallmarks of an episodic-memory system, including the ability to produce rich, flexible representations of various past events, and to prepare for specific events in the future in a number of different ways. Direct comparisons of these experiments are beginning to emerge with young children. These studies allow us to determine whether performance on episodic-like memory tasks follows a similar developmental trajectory to performance on other measures of episodic memory. Here, we discuss some of the similarities and differences between the minds of corvids and children that have emerged from this research to date.

      PubDate: 2017-09-04T16:00:41Z
      DOI: 10.1016/j.cobeha.2017.07.011
      Issue No: Vol. 17 (2017)
  • Hippocampal contributions to memory for time: evidence from
           neuropsychological studies
    • Authors: Daniela J Palombo; Mieke Verfaellie
      Pages: 107 - 113
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Daniela J Palombo, Mieke Verfaellie
      Time and space are two critical elements of episodic memory that are supported by the hippocampus. Yet, until recently, there has been much greater focus on the involvement of this structure in spatial than in temporal features of memory. Here we highlight evidence from neuropsychological studies of patients with medial temporal lobe lesions, which have provided evidence that the hippocampus is critical for multiple facets of time, even in tasks that are not typically considered episodic. These studies show that the hippocampus supports memory for first, event duration, second, temporal order, and third, temporally discontiguous experiences. Overall, these findings align with theoretical models suggesting that the hippocampus codes for the temporal context of unfolding events.

      PubDate: 2017-09-04T16:00:41Z
      DOI: 10.1016/j.cobeha.2017.07.015
      Issue No: Vol. 17 (2017)
  • Details, gist and schema: hippocampal–neocortical interactions
           underlying recent and remote episodic and spatial memory
    • Authors: Jessica Robin; Morris Moscovitch
      Pages: 114 - 123
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Jessica Robin, Morris Moscovitch
      Memories are complex and dynamic, continuously transforming with time and experience. In this paper, we review evidence of the neural basis of memory transformation for events and environments with emphasis on the role of hippocampal–neocortical interactions. We argue that memory transformation from detail-rich representations to gist-like and schematic representation is accompanied by corresponding changes in their neural representations. These changes can be captured by a model based on functional differentiation along the long-axis of the hippocampus, and its functional connectivity to related posterior and anterior neocortical structures, especially the ventromedial prefrontal cortex (vmPFC). In particular, we propose that perceptually detailed, highly specific representations are mediated by the posterior hippocampus and neocortex, gist-like representations by the anterior hippocampus, and schematic representations by vmPFC. These representations can co-exist and the degree to which each is utilized is determined by its availability and by task demands.

      PubDate: 2017-09-04T16:00:41Z
      DOI: 10.1016/j.cobeha.2017.07.016
      Issue No: Vol. 17 (2017)
  • Differential effects of negative emotion on memory for items and
           associations, and their relationship to intrusive imagery
    • Authors: JA Bisby; N Burgess
      Pages: 124 - 132
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): JA Bisby, N Burgess
      A crucial aspect of episodic memory formation is the way in which our experiences are stored within a coherent spatio-temporal context. We review research that highlights how the experience of a negative event can alter memory encoding in a complex manner, strengthening negative items but weakening associations with other items and the surrounding context. Recent evidence suggests that these opposing effects can occur through amygdala up-modulation to facilitate item encoding, while the hippocampal provision of contextual binding is down-modulated. We consider how these characteristics of memory for negative events might contribute to the development and maintenance of distressing intrusive imagery in posttraumatic stress disorder, and how they should influence therapeutic interventions.

      PubDate: 2017-09-28T19:01:16Z
      DOI: 10.1016/j.cobeha.2017.07.012
      Issue No: Vol. 17 (2017)
  • Event boundaries in memory and cognition
    • Authors: Gabriel A Radvansky; Jeffrey M Zacks
      Pages: 133 - 140
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Gabriel A Radvansky, Jeffrey M Zacks
      Research on event cognition is rapidly developing and is revealing fundamental aspects of human cognition. In this paper, we review recent and current work that is driving this field forward. We first outline the Event Horizon Model, which broadly describes the impact of event boundaries on cognition and memory. Then, we address recent work on event segmentation, the role of event cognition in working memory and long-term memory, including event model updating, and long term retention. Throughout we also consider how event cognition varies across individuals and groups of people and consider the neural mechanisms involved.

      PubDate: 2017-09-28T19:01:16Z
      DOI: 10.1016/j.cobeha.2017.08.006
      Issue No: Vol. 17 (2017)
  • Does mental context drift or shift'
    • Authors: Sarah DuBrow; Nina Rouhani; Yael Niv; Kenneth A Norman
      Pages: 141 - 146
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Sarah DuBrow, Nina Rouhani, Yael Niv, Kenneth A Norman
      Theories of episodic memory have proposed that individual memory traces are linked together by a representation of context that drifts slowly over time. Recent data challenge the notion that contextual drift is always slow and passive. In particular, changes in one's external environment or internal model induce discontinuities in memory that are reflected in sudden changes in neural activity, suggesting that context can shift abruptly. Furthermore, context change effects are sensitive to top-down goals, suggesting that contextual drift may be an active process. These findings call for revising models of the role of context in memory, in order to account for abrupt contextual shifts and the controllable nature of context change.

      PubDate: 2017-09-04T16:00:41Z
      DOI: 10.1016/j.cobeha.2017.08.003
      Issue No: Vol. 17 (2017)
  • Theta sequences of grid cell populations can provide a movement-direction
    • Authors: Ipshita Zutshi; Jill K Leutgeb; Stefan Leutgeb
      Pages: 147 - 154
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Ipshita Zutshi, Jill K Leutgeb, Stefan Leutgeb
      It has been proposed that path integration in mammals is performed by the convergence of internally generated speed and directional inputs onto grid cells. Although this hypothesis has been supported by the discovery that head direction, speed, and grid cells are intermixed within entorhinal cortex and by the recent finding that head-direction inputs are necessary for grid firing, many details on how grid cells are generated have remained elusive. For example, analysis of recording data suggests that substituting head direction for movement direction accrues errors that preclude the formation of grid patterns. To address this discrepancy, we propose that the organization of grid networks makes it plausible that movement-direction signals are an output from grid cells and that temporally precise grid cell sequences provide a robust directional signal to other spatial and directional cell types.

      PubDate: 2017-09-04T16:00:41Z
      DOI: 10.1016/j.cobeha.2017.08.012
      Issue No: Vol. 17 (2017)
  • Spatial responses, immediate experience, and memory in the monkey
    • Authors: Jon W Rueckemann; Elizabeth A Buffalo
      Pages: 155 - 160
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Jon W Rueckemann, Elizabeth A Buffalo
      Debate about the function of the hippocampus often pits theories advocating for spatial mapping against those that argue for a central role in memory. This review addresses whether research in the monkey supports the view that processing spatial information is fundamental to the function of the hippocampus. In support of spatial processing theories, neurons in the monkey hippocampal formation have striking spatial tuning, and an intact hippocampus is necessary to effectively utilize allocentric spatial relationships. However, the hippocampus also supports non-spatial processes, as its neurons acutely respond to distinct task events and hippocampal damage disrupts both expedient task acquisition and the monitoring of ongoing events in non-spatial paradigms. The features that are shared between spatial and non-spatial hippocampal-dependent tasks point toward a common mechanism underlying hippocampal function that is independent of processing spatial information. We suggest that spatial information is only one facet of immediate experience represented by the hippocampus. The current data support the idea that the hippocampus tracks many aspects of ongoing experience and the primary role of the hippocampus may be in linking experienced events into unitary episodes.

      PubDate: 2017-09-10T02:46:21Z
      DOI: 10.1016/j.cobeha.2017.08.008
      Issue No: Vol. 17 (2017)
  • Memory integration constructs maps of space, time, and concepts
    • Authors: Neal W Morton; Katherine R Sherrill; Alison R Preston
      Pages: 161 - 168
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Neal W Morton, Katherine R Sherrill, Alison R Preston
      Recent evidence demonstrates that new events are learned in the context of their relationships to existing memories. Within the hippocampus and medial prefrontal cortex, related memories are represented by integrated codes that connect events experienced at different times and places. Integrated codes form the basis of spatial, temporal, and conceptual maps of experience. These maps represent information that goes beyond direct experience and support generalization behaviors that require knowledge be used in new ways. The degree to which an individual memory is integrated into a coherent map is determined by its spatial, temporal, and conceptual proximity to existing knowledge. Integration is observed over a wide range of scales, suggesting that memories contain information about both broad and fine-grained contexts.

      PubDate: 2017-09-10T02:46:21Z
      DOI: 10.1016/j.cobeha.2017.08.007
      Issue No: Vol. 17 (2017)
  • Using big data to solve real problems through academic and industry
    • Authors: Stephen Mitroff; Benjamin Sharpe
      Abstract: Publication date: December 2017
      Source:Current Opinion in Behavioral Sciences, Volume 18
      Author(s): Stephen R Mitroff, Benjamin Sharpe
      Big data has revolutionized a number of industries as it provides a powerful tool for asking and answering questions in novel ways. Academic researchers can join this trend and use immense and complex datasets to explore previously intractable questions. Yet, accessing and analyzing big data can be difficult. The goal of this chapter is to outline various benefits and challenges of using big data for academic purposes, and to provide thoughts on how to succeed. The primary suggestion is for academics to collaborate with appropriate industry partners to simultaneously achieve both theoretical and practical advances.

      PubDate: 2017-10-12T21:36:35Z
  • Time (and space) in the hippocampus
    • Authors: Howard Eichenbaum
      Abstract: Publication date: October 2017
      Source:Current Opinion in Behavioral Sciences, Volume 17
      Author(s): Howard Eichenbaum
      There is considerable recent evidence that, in addition to its representation of space, the hippocampus also represents the temporal organization of memories. Time plays a central role in episodic memory, and studies have identified the hippocampus as playing an essential role in the temporal organization of memories in humans and animals. Temporal organization is supported by a gradually changing temporal context signal in the hippocampus, and this changing context signal involves ‘time cells’ in the hippocampus that code sequential moments in temporally organized experiences. Finally, hippocampal temporal context representations involve mechanisms in intrinsic circuitry and oscillatory patterns throughout hippocampal subfields and depend on inputs from parahippocampal cortical areas as well as a widespread temporal processing system in the neocortex.

      PubDate: 2017-07-19T07:44:32Z
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
Home (Search)
Subjects A-Z
Publishers A-Z
Your IP address:
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-2016