A Heterogeneous Spiking Neural Network for Unsupervised Learning of Spatiotemporal Patterns

This paper introduces a heterogeneous spiking neural network (H-SNN) as a novel, feedforward SNN structure capable of learning complex spatiotemporal patterns with spike-timing-dependent plasticity (STDP) based unsupervised training. Within H-SNN, hierarchical spatial and temporal patterns are const...

Descripción completa

Detalles Bibliográficos
Autores principales: She, Xueyuan, Dash, Saurabh, Kim, Daehyun, Mukhopadhyay, Saibal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841292/
https://www.ncbi.nlm.nih.gov/pubmed/33519366
http://dx.doi.org/10.3389/fnins.2020.615756

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841292/
https://www.ncbi.nlm.nih.gov/pubmed/33519366
http://dx.doi.org/10.3389/fnins.2020.615756

Ejemplares similares