Metastable Dynamics of Neural Ensembles
A classical view of neural computation is that it can be characterized in terms of convergence to attractor states or sequential transitions among states in a noisy background. After over three decades, is this still a valid model of how brain dynamics implements cognition? This book provides a comp...
| Otros Autores: | , , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Frontiers Media SA
2018
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| Colección: | Frontiers Research Topics
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009421726206719 |
| Sumario: | A classical view of neural computation is that it can be characterized in terms of convergence to attractor states or sequential transitions among states in a noisy background. After over three decades, is this still a valid model of how brain dynamics implements cognition? This book provides a comprehensive collection of recent theoretical and experimental contributions addressing the question of stable versus transient neural population dynamics from complementary angles. These studies showcase recent efforts for designing a framework that encompasses the multiple facets of metastability in neural responses, one of the most exciting topics currently in systems and computational neuroscience. |
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| Descripción Física: | 1 electronic resource (152 p.) |
