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...
Saved in:
| Superior document: | Frontiers Research Topics |
|---|---|
| : | |
| Year of Publication: | 2018 |
| Language: | English |
| Series: | Frontiers Research Topics
|
| Physical Description: | 1 electronic resource (152 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|---|
| Hierarchical level: | Monograph |