Описание: Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Описание: Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Автор: Wulfram Gerstner Название: Spiking Neuron Models ISBN: 0521890799 ISBN-13(EAN): 9780521890793 Издательство: Cambridge Academ Рейтинг: Цена: 10454.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Aimed at courses in computational neuroscience, theoretical biology, biophysics, or neural networks, this 2002 text will suit students of physics, mathematics, or computer science, as well as biologists who are interested in mathematical modelling. A large number of worked examples are embedded in the profusely-illustrated text.
Автор: Maria Marinaro; Silvia Scarpetta; Yoko Yamaguchi Название: Dynamic Brain - from Neural Spikes to Behaviors ISBN: 3540888527 ISBN-13(EAN): 9783540888529 Издательство: Springer Рейтинг: Цена: 4507.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Suitable for graduate students and researchers with different scientific backgrounds who wish to learn brain science beyond the boundary of their fields. This volume presents 12 tutorial papers based on lectures given by leading researchers at the 12th International Summer School on Neural Networks in Erice, Italy, in December 2008.
Автор: Carver Mead; Mohammed Ismail Название: Analog VLSI Implementation of Neural Systems ISBN: 146128905X ISBN-13(EAN): 9781461289050 Издательство: Springer Рейтинг: Цена: 17097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains the proceedings of a workshop on Analog Integrated Neural Systems held May 8, 1989, in connection with the International Symposium on Circuits and Systems.
Автор: Peter van Overschee; B.L. de Moor Название: Subspace Identification for Linear Systems ISBN: 1461380618 ISBN-13(EAN): 9781461380610 Издательство: Springer Рейтинг: Цена: 13677.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Subspace Identification for Linear Systems focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finite- dimensional dynamical systems.
Автор: Ioan Dor? Landau; Gianluca Zito Название: Digital Control Systems ISBN: 184996551X ISBN-13(EAN): 9781849965514 Издательство: Springer Рейтинг: Цена: 11581.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The extraordinary development of digital computers (microprocessors, microcontrollers) and their extensive use in control systems in all fields of applications has brought about important changes in the design of control systems.
Описание: In this book, the authors outline detailed design methodology for fast frequency hopping synthesizers for RF and wireless communications applications. The developed techniques in the book can help in designing very low noise, high speed fractional-N frequency synthesizers.
Описание: Control circuits are a key element in the operation and performance of power electronics converters. This book describes practical issues related to the design and implementation of these control circuits, and is divided into three parts - analogue control circuits, digital control circuits, and new trends in control circuits.
Автор: Cristina Azcona Murillo; Bel?n Calvo Lopez; Santia Название: Voltage-to-Frequency Converters ISBN: 1493900641 ISBN-13(EAN): 9781493900640 Издательство: Springer Рейтинг: Цена: 13677.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book develops voltage-to-frequency converter (VFC) solutions integrated in standard CMOS technology to be used as a part of a microcontroller-based, multisensor interface in the environment of portable applications, particularly within a WSN node.
Автор: Ayan Palchaudhuri; Rajat Subhra Chakraborty Название: High Performance Integer Arithmetic Circuit Design on FPGA ISBN: 8132225198 ISBN-13(EAN): 9788132225195 Издательство: Springer Рейтинг: Цена: 13677.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes the optimized implementations of several arithmetic datapath, controlpath and pseudorandom sequence generator circuits for realization of high performance arithmetic circuits targeted towards a specific family of the high-end Field Programmable Gate Arrays (FPGAs).
Описание: This book focuses on the design of a 3rd Order CT-ГЋВЈГЇВїВЅ M where the integrator stages of the filter are implemented with Bipolar-Junction Transistors (BJT) differential pairs. These circuits are fully analyzed and the design method is carefully explained. The design method is validated through experimental measurements of several prototype circuits.
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