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Unsupervised learning of temporal features for word categorization in a spiking neural network model of the auditory brain
The nature of the code used in the auditory cortex to represent complex auditory stimuli, such as naturally spoken words, remains a matter of debate. Here we argue that such representations are encoded by stable spatio-temporal patterns of firing within cell assemblies known as polychronous groups,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552261/ https://www.ncbi.nlm.nih.gov/pubmed/28797034 http://dx.doi.org/10.1371/journal.pone.0180174 |