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


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Автор: Stephen A Selesnick
Название:  Quantum-like Networks: An Approach To Neural Behavior Through Their Mathematics And Logic
ISBN: 9789811260698
Издательство: World Scientific Publishing
Классификация:
ISBN-10: 9811260699
Обложка/Формат: Hardback
Страницы: 356
Вес: 0.00 кг.
Дата издания: 09.09.2022
Серия: Biology
Язык: English
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Neurosciences, MATHEMATICS / Logic,SCIENCE / Life Sciences / Biophysics,SCIENCE / Life Sciences / Neuroscience
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Поставляется из: Англии
Описание: Do brains compute? If they do, what do they compute and how do they do it? The first part of the book introduces the development of a model that simulates actual biological neurons more closely than do current standard models of neural networks, as well as the deduction of its physics-like and computational properties from first principles. The second part presents a collection of applications of the model to memory formation and loss, a general syntax for memory retrieval, language itself, and certain forms of aphasia. A linear development of the discussion with proofs in situ is employed by the author, making the book essentially self-contained. A pair of helpful appendices are provided to acquaint the reader with necessary fundamentals of topics in logic and mathematics. Quantum-like Networks: An Approach to Neural Behavior through their Mathematics and Logic will show you an entirely new approach to an ancient subject.

Neural Cell Behavior and Fuzzy Logic

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: 139310.00 T
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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.

Weakly Connected Neural Networks

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: 93160.00 T
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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.

Artificial Neural Networks

Автор: Danyal Sadik
Название: Artificial Neural Networks
ISBN: 1681175290 ISBN-13(EAN): 9781681175294
Издательство: Gazelle Book Services
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Цена: 230210.00 T
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Описание: "An artificial neuron network (ANN) is a computational model based on the structure and functions of biological neural networks. Information that flows through the network affects the structure of the ANN because a neural network changes - or learns, in a sense - based on that input and output. Artificial neural networks are relatively crude electronic models based on the neural structure of the brain. The brain basically learns from experience. It is natural proof that some problems that are beyond the scope of current computers are indeed solvable by small energy efficient packages. This brain modeling also promises a less technical way to develop machine solutions. This new approach to computing also provides a more graceful degradation during system overload than its more traditional counterparts. These biologically inspired methods of computing are thought to be the next major advancement in the computing industry. Even simple animal brains are capable of functions that are currently impossible for computers. Computers do rote things well, like keeping ledgers or performing complex math. But computers have trouble recognizing even simple patterns much less generalizing those patterns of the past into actions of the future. Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. Artificial Neural Networks provide recent advances of architectures, methodologies, and applications of artificial neural networks. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks. This book will be of valuable for college and graduate students, and engineers in companies."

Ahmes` Legacy

Автор: Danesi
Название: Ahmes` Legacy
ISBN: 3319932535 ISBN-13(EAN): 9783319932538
Издательство: Springer
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Цена: 83850.00 T
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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.

This volume is the first monographic treatment of the psychological nature of puzzles in mathematics. With its user-friendly technical level of discussion, it is of interest to both general readers and those who engage in the disciplines of mathematics, psychology, neuroscience, and/or anthropology. It is also ideal as a textbook source for courses in recreational mathematics, or as reference material in introductory college math courses.

Dynamics of Neural Networks: A Mathematical and Clinical Approach

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: 93160.00 T
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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).

Model Neural Networks and Behavior

Автор: Allen Selverston
Название: Model Neural Networks and Behavior
ISBN: 147575860X ISBN-13(EAN): 9781475758603
Издательство: Springer
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Цена: 46570.00 T
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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.


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