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Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection
Excitation-inhibition (E-I) balanced neural networks are a classic model for modeling neural activities and functions in the cortex. The present study investigates the potential application of E-I balanced neural networks for fast signal detection in brain-inspired computation. We first theoreticall...
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| Publicado en: | Front Comput Neurosci |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7497310/ https://ncbi.nlm.nih.gov/pubmed/33013343 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2020.00079 |
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