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Dynamic input-dependent encoding of individual basal ganglia neurons
Computational models are crucial to studying the encoding of individual neurons. Static models are composed of a fixed set of parameters, thus resulting in static encoding properties that do not change under different inputs. Here, we challenge this basic concept which underlies these models. Using...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118110/ https://www.ncbi.nlm.nih.gov/pubmed/32242059 http://dx.doi.org/10.1038/s41598-020-62750-0 |