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...
में बचाया:
| मुख्य लेखक: | |
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| अन्य लेखक: | , , |
| स्वरूप: | इलेक्ट्रोनिक पुस्तक अध्याय |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
Frontiers Media SA
2018
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| श्रृंखला: | Frontiers Research Topics
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| विषय: | |
| ऑनलाइन पहुंच: | DOAB: download the publication DOAB: description of the publication |
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| सारांश: | 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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| भौतिक वर्णन: | 1 electronic resource (152 p.) |
| आईएसबीएन: | 978-2-88945-437-2 9782889454372 |
| अभिगमन: | Open Access |