(Paperback)
By: Eugene M. Izhikevich
ISBN: 9780262514200
Readership/Audience: Professional and Scholarly
Publication Date: Jan 2010
Publisher: MIT Press Ltd
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Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition.
(Paperback)
By: Peter Baccini
ISBN: 9780262549547
Readership/Audience: General
Publication Date: Oct 2023
Publisher: MIT Press Ltd
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(Paperback, second edition)
By: Christof Koch
ISBN: 9780262517133
Readership/Audience: Tertiary Education
Publication Date: Jan 2003
Publisher: MIT Press Ltd
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(Paperback)
By: Steven J. Schiff
ISBN: 9780262546713
Readership/Audience: Professional and Scholarly
Publication Date: Nov 2022
Publisher: MIT Press Ltd
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(Paperback)
By: Mikhail I. Rabinovich
ISBN: 9780262549905
Readership/Audience: General
Publication Date: Dec 2023
Publisher: MIT Press Ltd
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(Paperback)
By: Geoffrey Hinton
ISBN: 9780262581684
Readership/Audience: Professional and Scholarly
Publication Date: May 1999
Publisher: MIT Press Ltd
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This volume on neural network learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans.
(Hardback)
By: Paul Miller
ISBN: 9780262038256
Readership/Audience: Tertiary Education
Publication Date: Oct 2018
Publisher: MIT Press Ltd
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A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior.
(Paperback)
By: Mark A. Kramer
ISBN: 9780262529372
Readership/Audience: Tertiary Education
Publication Date: Nov 2016
Publisher: MIT Press Ltd
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A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data.
(Hardback)
By: Michael A. Arbib
ISBN: 9780262034968
Readership/Audience: Tertiary Education
Publication Date: Nov 2016
Publisher: MIT Press Ltd
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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.
(Paperback, 25th Anniversary Edition)
By: Patricia S. Churchland
ISBN: 9780262533393
Readership/Audience: Professional and Scholarly
Publication Date: Nov 2016
Publisher: MIT Press Ltd
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An anniversary edition of the classic work that influenced a generation of neuroscientists and cognitive neuroscientists.
(Hardback)
By: Tomaso A. Poggio
ISBN: 9780262034722
Readership/Audience: Professional and Scholarly
Publication Date: Sep 2016
Publisher: MIT Press Ltd
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A mathematical framework that describes learning of invariant representations in the ventral stream, offering both theoretical development and applications.
