Quantum-like Networks: An Approach To Neural Behavior Through Their Mathematics And Logic, Stephen A Selesnick

Автор: Frank C. Hoppensteadt; Eugene M. Izhikevich
Название: Weakly Connected Neural Networks
ISBN: 1461273021 ISBN-13(EAN): 9781461273028
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Devoted to local and global analysis of weakly connected systems with applications to neurosciences, this book uses bifurcation theory and canonical models as the major tools of analysis.

Автор: Van Putten Michel J. a. M.
Название: Dynamics of Neural Networks: A Mathematical and Clinical Approach
ISBN: 3662611821 ISBN-13(EAN): 9783662611821
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book treats essentials from neurophysiology (Hodgkin-Huxley equations, synaptic transmission, prototype networks of neurons) and related mathematical concepts (dimensionality reductions, equilibria, bifurcations, limit cycles and phase plane analysis).

Автор: Allen Selverston
Название: Model Neural Networks and Behavior
ISBN: 147575860X ISBN-13(EAN): 9781475758603
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The most conspicuous function of the nervous system is to control animal behav- ior. In neurobiology, many invertebrates have become established as model systems for investigations at both the systems and the cellular level.

Автор: Uziel Sandler; Lev Tsitolovsky
Название: Neural Cell Behavior and Fuzzy Logic
ISBN: 1441934928 ISBN-13(EAN): 9781441934925
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Covering at an advanced level the most fundamental concepts and methods in fuzzy logic applications to studying neural cell behavior, this book examines motivation and awareness from a physiological and biochemical perspective, illustrating fuzzy mechanisms.

Автор: Danesi
Название: Ahmes` Legacy
ISBN: 3319932535 ISBN-13(EAN): 9783319932538
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book looks at classic puzzles from the perspective of their structures and what they tell us about the brain. It uses the work on the neuroscience of mathematics from Dehaene, Butterworth, Lakoff, N??ez, and many others as a lens to understand the ways in which puzzles reflect imaginative processes blended with rational ones. The book is not about recreational or puzzle-based mathematics in and of itself but rather about what the classic puzzles tell us about the mathematical imagination and its impact on the discipline. It delves into the history of classic math puzzles, deconstructing their raison d’?tre and describing their psychological features, so that their nature can be fleshed out in order to help understand the mathematical mind.