Open AccessBidirectional synaptic scaling is necessary for implementing reinforcement learning via spike-timing-dependent-plasticity
Author(s) -
Herrmann Christoph
Publication year - 2010
Publication title -
frontiers in computational neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.794
H-Index - 58
ISSN - 1662-5188
DOI - 10.3389/conf.fncom.2010.51.00081
Subject(s) - postsynaptic potential , reinforcement learning , neuroscience , long term potentiation , reinforcement , metaplasticity , synaptic plasticity , dopamine , neuron , computer science , learning rule , spike timing dependent plasticity , synaptic scaling , nonsynaptic plasticity , artificial intelligence , psychology , artificial neural network , chemistry , social psychology , biochemistry , receptor