Metastable Dynamics of Neural Ensembles

• Autore: Emili Balaguer-Ballester
• Pubblicazione: Frontiers Media SA, 2018
• Descrizione fisica: 1 electronic resource (152 p.)
• Soggetto non controllato: Attractor Dynamics; Trial-to-trial Variability; Transient Dynamics; Neural Noise; Metastability
• Persona (resp. second.): Ruben Moreno-Bote; Gustavo Deco; Daniel Durstewitz
• Sommario/riassunto: 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.
• Titolo autorizzato: Metastable Dynamics of Neural Ensembles
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346758003321
• Lo trovi qui: Univ. Federico II