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General differential Hebbian learning: Capturing temporal relations between events in neural networks and the brain
Learning in biologically relevant neural-network models usually relies on Hebb learning rules. The typical implementations of these rules change the synaptic strength on the basis of the co-occurrence of the neural events taking place at a certain time in the pre- and post-synaptic neurons. Differen...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6130884/ https://www.ncbi.nlm.nih.gov/pubmed/30153263 http://dx.doi.org/10.1371/journal.pcbi.1006227 |