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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...

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Detaylı Bibliyografya
Yayımlandı:Front Neurosci
Asıl Yazarlar: She, Xueyuan, Dash, Saurabh, Kim, Daehyun, Mukhopadhyay, Saibal
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2021
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7841292/
https://ncbi.nlm.nih.gov/pubmed/33519366
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.615756
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