Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)

A growing body of work underlines striking similarities between biological neural networks and recurrent, binary neural networks. A relatively smaller body of work, however, addresses the similarities between learning dynamics employed in deep artificial neural networks and synaptic plasticity in sp...

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Vydáno v:	Frontiers in neuroscience Ročník 14; s. 424
Hlavní autoři:	Kaiser, Jacques, Mostafa, Hesham, Neftci, Emre
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland Frontiers Research Foundation 12.05.2020 Frontiers Media S.A
Témata:	Back propagation backpropagataon Computers Deep learning embedded learning Firing pattern Learning algorithms Machine learning Neural networks neuromorphic hardware Neurons Neuroplasticity Neuroscience Propagation spiking neural network surrogate gradient algorithm Synaptic plasticity neuromorphic hardware surrogate gradient algorithm embedded learning spiking neural network backpropagataon
ISSN:	1662-453X, 1662-4548, 1662-453X
On-line přístup:	Získat plný text
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