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May 2017 Volume 18 Number 5 | Advertisement | ||||||||||||||||||||||||||||||||||||||||||||||
In this issue Comment Research Highlights Reviews Perspectives
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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. Full Text | PDF | |||||||||||||||||||||||||||||||||||||||||||||||
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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 | |||||||||||||||||||||||||||||||||||||||||||||||
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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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