Presynaptic spike-driven plasticity based on eligibility trace for on-chip learning system

INTRODUCTION: Recurrent spiking neural network (RSNN) performs excellently in spatio-temporal learning with backpropagation through time (BPTT) algorithm. But the requirement of computation and memory in BPTT makes it hard to realize an on-chip learning system based on RSNN. In this paper, we aim to...

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Detalles Bibliográficos
Autores principales: Gao, Tian, Deng, Bin, Wang, Jiang, Yi, Guosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997725/
https://www.ncbi.nlm.nih.gov/pubmed/36908804
http://dx.doi.org/10.3389/fnins.2023.1107089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997725/
https://www.ncbi.nlm.nih.gov/pubmed/36908804
http://dx.doi.org/10.3389/fnins.2023.1107089

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