Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence, Nikola K. Kasabov
Новое издание
Автор: Nikola K. Kasabov Название: Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence ISBN: 366258607X ISBN-13(EAN): 9783662586075 Издательство: Springer Цена: 39130.00 р. Наличие на складе: Есть у поставщикаПоставка под заказ. 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: Massimo De Gregorio; Vito Di Maio; Maria Frucci; C Название: Brain, Vision, and Artificial Intelligence ISBN: 3540292829 ISBN-13(EAN): 9783540292821 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the First International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2005, held in Naples, Italy in October 2005. This book contains such topics as brain basics - neuroanatomy and physiology, development, plasticity and learning, synaptic, neuronic and neural network modeling.
Описание: Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation.
This work is motivated by the ongoing open question of how information in the outside world is represented and processed by the brain. Consequently, several novel methods are developed.
A new mathematical formulation is proposed for the encoding and decoding of analog signals using integrate-and-fire neuron models. Based on this formulation, a novel algorithm, significantly faster than the state-of-the-art method, is proposed for reconstructing the input of the neuron.
Two new identification methods are proposed for neural circuits comprising a filter in series with a spiking neuron model. These methods reduce the number of assumptions made by the state-of-the-art identification framework, allowing for a wider range of models of sensory processing circuits to be inferred directly from input-output observations.
A third contribution is an algorithm that computes the spike time sequence generated by an integrate-and-fire neuron model in response to the output of a linear filter, given the input of the filter encoded with the same neuron model.
Название: Vlsi for neural networks and artificial intelligence ISBN: 1489913335 ISBN-13(EAN): 9781489913333 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence.
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: 5164.00 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: Jose G. Delgado-Frias; W.R. Moore Название: VLSI for Neural Networks and Artificial Intelligence ISBN: 0306447223 ISBN-13(EAN): 9780306447228 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. the areas are: analog circuits for neural networks, digital implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence.
Автор: Bringsjord Название: Artificial Intelligence and Literary Creativity ISBN: 080581986X ISBN-13(EAN): 9780805819861 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Now that IBM`s Deep Blue computer beat the world`s greatest human chess player, Gary Kasparov, this book will see if a story can be written better by a human or a machine.
Автор: Bringsjord Название: Artificial Intelligence and Literary Creativity ISBN: 0805819878 ISBN-13(EAN): 9780805819878 Издательство: Taylor&Francis Рейтинг: Цена: 6736.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Now that IBM`s Deep Blue computer beat the world`s greatest human chess player, Gary Kasparov, this book will see if a story can be written better by a human or a machine.
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