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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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| Publicat a: | Front Neurosci |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2021
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| Matèries: | |
| Accés en línia: | 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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