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Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network
Multiple brain regions are able to learn and express temporal sequences, and this functionality is an essential component of learning and memory. We propose a substrate for such representations via a network model that learns and recalls discrete sequences of variable order and duration. The model c...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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eLife Sciences Publications, Ltd
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7972481/ https://www.ncbi.nlm.nih.gov/pubmed/33734085 http://dx.doi.org/10.7554/eLife.63751 |