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Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based device
Animal behavior often involves a temporally ordered sequence of actions learned from experience. Here we describe simulations of interconnected networks of spiking neurons that learn to generate patterns of activity in correct temporal order. The simulation consists of large-scale networks of thousa...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2013
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3674315/ https://ncbi.nlm.nih.gov/pubmed/23760804 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2013.00010 |
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