Tag: Neural

Handbook of Neurochemistry and Molecular Neurobiology Neural Signaling Mechanisms (2024)


Free Download Katsuhiko Mikoshiba, Abel Lajtha, "Handbook of Neurochemistry and Molecular Neurobiology: Neural Signaling Mechanisms"
English | 2009 | pages: 634 | ISBN: 0387303383 | PDF | 11,3 mb
This volume of the Handbook of Neurochemistry and Molecular Biology focuses on molecular events involved in synapse formation, synaptic plasticity and ongoing neural activity. The volume explores axonal growth cones, synapse development, and mechanisms of LTP and LTD, and calcium dynamics. Particular attention is given to function and trafficking of membrane proteins including various ion channels, aquaporines, gap junctions.

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Blind Equalization in Neural Networks Theory, Algorithms and Applications


Free Download Blind Equalization in Neural Networks: Theory, Algorithms and Applications
English | 2018 | ISBN: 3110449625 | 268 Pages | PDF (True) | 4 MB
The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists.

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Neural Information Processing (2024)


Free Download Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I by Haiqin Yang
English | PDF | 2020 | 834 Pages | ISBN : 3030638294 | 113 MB
The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.

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Neural Information Processing (2024)


Free Download Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I by Haiqin Yang
English | PDF | 2020 | 834 Pages | ISBN : 3030638294 | 113 MB
The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.

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Quantum-like Networks An Approach To Neural Behavior Through Their Mathematics And Logic


Free Download Quantum-like Networks: An Approach To Neural Behavior Through Their Mathematics And Logic by Stephen A Selesnick
English | August 4, 2022 | ISBN: 9811260699 | 356 pages | MOBI | 20 Mb
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.

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