Synaptic plasticity in neural networks needs homeostasis with a fast rate detector.

Hebbian changes of excitatory synapses are driven by and further enhance correlations between pre- and postsynaptic activities. Hence, Hebbian plasticity forms a positive feedback loop that can lead to instability in simulated neural networks. To keep activity at healthy, low levels, plasticity must...

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Bibliographic Details
Main Authors: Friedemann Zenke, Guillaume Hennequin, Wulfram Gerstner
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS Computational Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24244138/pdf/?tool=EBI

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