Tuesday, April 18, 2017

Nature Reviews Neuroscience contents May 2017 Volume 18 Number 5 pp 261 - 319

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Nature Reviews Neuroscience


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TABLE OF CONTENTS
 
May 2017 Volume 18 Number 5Advertisement
Nature Reviews Neuroscience cover
2015 2-year Impact Factor 29.298 Journal Metrics 2-year Median 22
In this issue
Comment
Research Highlights
Reviews
Perspectives

Also this month
 Featured article:
Genetic and activity-dependent mechanisms underlying interneuron diversity
Brie Wamsley & Gord Fishell

Nature Insight: Neurodegenerative Diseases 

This Insight explores brain ageing and possible rejuvenation and updates our understanding of Alzheimer’s disease, amyotrophic lateral sclerosis and Parkinson’s disease. It also discusses how knowledge from prion disease may apply to more common neurodegenerative disorders and provides a structural perspective on the properties of amyloids.

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Comment: Towards a stronger science of human plasticity
Ulman Lindenberger, Elisabeth Wenger & Martin Lövdén
p261 | doi:10.1038/nrn.2017.44
Lindenberger and colleagues suggest that research into the possible effects of 'brain training' should build on an understanding of the mechanisms of human brain plasticity.

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RESEARCH HIGHLIGHTS
Top

Cerebellum: The little learning brain
p263 | doi:10.1038/nrn.2017.47
Two recent studies report changes in the activity of cerebellar granule cells during two different types of learning, providing insights into the function of these cells.

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Techniques: A two-step method to make microglia
p264 | doi:10.1038/nrn.2017.40
A new study describes a method for differentiating human and murine induced pluripotent stem cells into microglia-like cells.

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Circadian rhythms: Astrocytes keep time
p264 | doi:10.1038/nrn.2017.43
Astrocytic–neuronal signalling in the dorsal suprachiasmatic nucleus is essential for the maintenance of circadian timekeeping.

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Neurotransmission: Widening exocytosis
p265 | doi:10.1038/nrn.2017.49
α-Synuclein promotes the dilation of the fusion pore of exocytotic vesicles in neurons.

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Synaptic transmission: Changing the (potassium) channel?
p266 | doi:10.1038/nrn.2017.41
The endocannabinoid 2-arachidonoylglycerol increases the tonic and evoked firing rate of mouse dopamine midbrain neurons by inhibiting A-type potassium currents through a direct lipid interaction with Kv4.3 channels.

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IN BRIEF

Axon degeneration: A receptor for injury | Neural circuits: Itch transmission | Dendrites: Probing plasticity
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REVIEWS
Top
Motor compensation and its effects on neural reorganization after stroke
Theresa A. Jones
p267 | doi:10.1038/nrn.2017.26
Stroke survivors often adapt to the loss of upper-limb function by adopting compensatory strategies. Jones discusses evidence that these compensatory strategies may influence the neural remodelling processes that occur after the initial stroke and can have mixed effects on functional outcome of the paretic limb.
Abstract | Full Text | PDF

Not just amyloid: physiological functions of the amyloid precursor protein family
Ulrike C. Müller, Thomas Deller & Martin Korte
p281 | doi:10.1038/nrn.2017.29
Amyloid precursor protein (APP) has been heavily implicated in Alzheimer disease, but the physiological roles of APP and the related APP-like proteins (APLPs) remain less well understood. This Review examines the functions of the APP family and its fragments in CNS development, synaptic function, brain injury and ageing.
Abstract | Full Text | PDF | Supplementary information

Genetic and activity-dependent mechanisms underlying interneuron diversity
Brie Wamsley & Gord Fishell
p299 | doi:10.1038/nrn.2017.30
Our growing understanding of cortical interneuron diversity has been matched by increasing interest in the underlying developmental mechanisms. Wamsley and Fishell describe current models of interneuron specification, highlighting the contribution of activity-dependent mechanisms to this process.
Abstract | Full Text | PDF

 
PERSPECTIVES
Top
OPINION
Algorithms for survival: a comparative perspective on emotions
Dominik R. Bach & Peter Dayan
p311 | doi:10.1038/nrn.2017.35
There is little agreement on the definition of emotions or the neural mechanisms by which they are realized. Bach and Dayan here use decision theory to shed light on the nature and implementation of the algorithms that underlie emotion-related behaviours.
Abstract | Full Text | PDF

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1 comment:

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