From Neuron to Cognition via Computational Neuroscience

From Neuron to Cognition via Computational Neuroscience

Michael A. Arbib & James J. Bonaiuto, Eds.
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From the middle of the nineteenth century onward, analysis of the brain has offered a rapidly increasing set of advances in the quest to understand how we come to know the physical and social world in which we are immersed. Neuroscience has become a very broad field indeed: each year around 30,000 researchers and students from around the world attend the annual meeting of the Society for Neuroscience (SfN), with talks and posters covering an immense range of subfields from the fine details of genetics and molecular biology via neurons, circuits, and brain regions to human cognition, neurological disorders, social interaction, and the ethical implications of research. 

This book seeks to introduce the reader to the middle range: from neurons, circuits, and brain regions to human cognition, with just enough subcellular details to enrich our insights into how neurons can work together to yield at times surprising results. We trace a path from neuron to cognition via computational neuroscience, but what is computational neuroscience? We reserve the term computational neuroscience for the attempt to understand neural systems by developing models of the causal interactions which underlie the observed behaviors of these systems.

This book has been designed to be used as a textbook for an introductory course in computational neuroscience, and it has an accompanying website (https://mitpress.mit.edu/neuron-cognition), which contains further instructions on how to access the ancillary materials that accompany the book. This book could be read by individuals with no prior study of the brain if they are content to accept formal models without the larger framework that prior study of neuroscience can provide. Indeed, an attempt is made in each chapter to offer an exposition of key empirical findings that provide the framework for the models presented in that chapter.

Jahr:
2016
Verlag:
The MIT Press
Sprache:
english
Seiten:
800
ISBN 10:
0262034964
ISBN 13:
9780262034968
Serien:
Computational Neuroscience
Datei:
PDF, 31.91 MB
IPFS:
CID , CID Blake2b
english, 2016
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