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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...

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Bibliographic Details
Main Author: Emili Balaguer-Ballester (auth)
Other Authors: Ruben Moreno-Bote (auth), Gustavo Deco (auth), Daniel Durstewitz (auth)
Format: Electronic Book Chapter
Language:English
Published: Frontiers Media SA 2018
Series:Frontiers Research Topics
Subjects:
Neurosciences
Attractor Dynamics
Trial-to-trial Variability
Transient Dynamics
Neural Noise
Metastability
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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.
Physical Description:1 electronic resource (152 p.)
ISBN:978-2-88945-437-2
9782889454372
Access:Open Access

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