Cargando…
Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations
The models in statistical physics such as an Ising model offer a convenient way to characterize stationary activity of neural populations. Such stationary activity of neurons may be expected for recordings from in vitro slices or anesthetized animals. However, modeling activity of cortical circuitri...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5283755/ https://www.ncbi.nlm.nih.gov/pubmed/28095421 http://dx.doi.org/10.1371/journal.pcbi.1005309 |