Journal Cover
Nature Neuroscience
Journal Prestige (SJR): 15.207
Citation Impact (citeScore): 15
Number of Followers: 417  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 1097-6256 - ISSN (Online) 1546-1726
Published by NPG Homepage  [143 journals]
  • Restoring wild-type-like CA1 network dynamics and behavior during
           adulthood in a mouse model of schizophrenia
    • Restoring wild-type-like CA1 network dynamics and behavior during adulthood in a mouse model of schizophrenia

      Restoring wild-type-like CA1 network dynamics and behavior during adulthood in a mouse model of schizophrenia, Published online: 17 September 2018; doi:10.1038/s41593-018-0225-y

      The authors report that impaired hippocampal synchrony in a mouse model of schizophrenia is due to parvalbumin interneuron hypoexcitability. Rescuing interneuron excitability during adulthood restores wild-type-like network dynamics and behavior.Restoring wild-type-like CA1 network dynamics and behavior during adulthood in a mouse model of schizophrenia, Published online: 2018-09-17; doi:10.1038/s41593-018-0225-y2018-09-17
      DOI: 10.1038/s41593-018-0225-y
       
  • Enhancers active in dopamine neurons are a primary link between genetic
           variation and neuropsychiatric disease
    • Enhancers active in dopamine neurons are a primary link between genetic variation and neuropsychiatric disease

      Enhancers active in dopamine neurons are a primary link between genetic variation and neuropsychiatric disease, Published online: 17 September 2018; doi:10.1038/s41593-018-0223-0

      The BRAINcode consortium found that tens of thousands of transcribed noncoding elements (TNEs) from the ‘dark matter’ of our genome are active in dopamine neurons. They may be linked to schizophrenia, Parkinson’s disease, and addiction.Enhancers active in dopamine neurons are a primary link between genetic variation and neuropsychiatric disease, Published online: 2018-09-17; doi:10.1038/s41593-018-0223-02018-09-17
      DOI: 10.1038/s41593-018-0223-0
       
  • Social reward monitoring and valuation in the macaque brain
    • Social reward monitoring and valuation in the macaque brain

      Social reward monitoring and valuation in the macaque brain, Published online: 17 September 2018; doi:10.1038/s41593-018-0229-7

      Applying a social Pavlovian conditioning procedure for macaques, this study shows that medial prefrontal neurons selectively monitor self-reward or other-reward information and that dopamine neurons integrate this information into subjective value.Social reward monitoring and valuation in the macaque brain, Published online: 2018-09-17; doi:10.1038/s41593-018-0229-72018-09-17
      DOI: 10.1038/s41593-018-0229-7
       
  • Social subjective value in the primate midbrain
    • Social subjective value in the primate midbrain

      Social subjective value in the primate midbrain, Published online: 17 September 2018; doi:10.1038/s41593-018-0230-1

      How we value our own rewards depends on what others have. A new study shows that neurons in the medial prefrontal cortex selectively monitor the value of rewards received by oneself or by another individual, whereas midbrain dopaminergic neurons integrate these values to generate social subjective reward values.Social subjective value in the primate midbrain, Published online: 2018-09-17; doi:10.1038/s41593-018-0230-12018-09-17
      DOI: 10.1038/s41593-018-0230-1
       
  • CNS lymphatic drainage and neuroinflammation are regulated by meningeal
           lymphatic vasculature
    • CNS lymphatic drainage and neuroinflammation are regulated by meningeal lymphatic vasculature

      CNS lymphatic drainage and neuroinflammation are regulated by meningeal lymphatic vasculature, Published online: 17 September 2018; doi:10.1038/s41593-018-0227-9

      Louveau et al. demonstrate that meningeal lymphatics drain CSF-derived macromolecules and immune cells and play a key role in regulating neuroinflammation. Meningeal lymphatics may represent a new therapeutic target for multiple sclerosis.CNS lymphatic drainage and neuroinflammation are regulated by meningeal lymphatic vasculature, Published online: 2018-09-17; doi:10.1038/s41593-018-0227-92018-09-17
      DOI: 10.1038/s41593-018-0227-9
       
  • Inhibitory connectivity defines the realm of excitatory plasticity
    • Inhibitory connectivity defines the realm of excitatory plasticity

      Inhibitory connectivity defines the realm of excitatory plasticity, Published online: 17 September 2018; doi:10.1038/s41593-018-0226-x

      Mongillo et al. use theoretical modeling to link structure & activity in a cortical network. They find that activity patterns are predominantly controlled by inhibitory connections, making the network robust to ongoing changes in excitatory synapses.Inhibitory connectivity defines the realm of excitatory plasticity, Published online: 2018-09-17; doi:10.1038/s41593-018-0226-x2018-09-17
      DOI: 10.1038/s41593-018-0226-x
       
  • Neural implementation of Bayesian inference in a sensorimotor behavior
    • Neural implementation of Bayesian inference in a sensorimotor behavior

      Neural implementation of Bayesian inference in a sensorimotor behavior, Published online: 17 September 2018; doi:10.1038/s41593-018-0233-y

      Behavior is the result of a Bayesian computation that weights past experience and current sensory information by their reliabilities. Here single-neuron activity in eye movement cortex exemplifies how the brain implements a Bayesian computation.Neural implementation of Bayesian inference in a sensorimotor behavior, Published online: 2018-09-17; doi:10.1038/s41593-018-0233-y2018-09-17
      DOI: 10.1038/s41593-018-0233-y
       
  • Coordinated cerebellar climbing fiber activity signals learned
           sensorimotor predictions
    • Coordinated cerebellar climbing fiber activity signals learned sensorimotor predictions

      Coordinated cerebellar climbing fiber activity signals learned sensorimotor predictions, Published online: 17 September 2018; doi:10.1038/s41593-018-0228-8

      Cerebellar climbing fibers provide predictive, context-specific instructional signals that do not rely exclusively on motor errors to support learning of arbitrary sensorimotor associations.Coordinated cerebellar climbing fiber activity signals learned sensorimotor predictions, Published online: 2018-09-17; doi:10.1038/s41593-018-0228-82018-09-17
      DOI: 10.1038/s41593-018-0228-8
       
 
 
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