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From Neuron to Cognition via Computational Neuroscience

From Neuron to Cognition via Computational Neuroscience

Michael A. Arbib, James J. Bonaiuto
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A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders in the field, and carefully integrated by the editors—cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language—the core of human cognition. The book can be used for advanced undergraduate or graduate level courses.
年:
2016
出版社:
MIT Press
语言:
english
页:
810
ISBN 10:
0262034964
ISBN 13:
9780262034968
系列:
Computational Neuroscience
文件:
PDF, 97.62 MB
IPFS:
CID , CID Blake2b
english, 2016
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