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Metastable Dynamics of Neural Ensembles
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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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Keywords
- Attractor Dynamics
- Biology, Life Sciences
- Life sciences: general issues
- Mathematics & science
- Metastability
- Neural Noise
- Neurosciences
- thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
- Transient Dynamics
- Trial-to-trial Variability
Links
DOI: 10.3389/978-2-88945-437-2Editions