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Neural Assemblies

neuroscience and gives a short and focused overview of the development of computational neuroscience and artificial neural networks over the last 40;

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Statistical Signal Processing for Neuroscience and Neurotechnology

in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By;

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Computational Models of Brain and Behavior

models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational;

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The Computational Brain

range of neural network models, and consider future directions of the field. The Computational Brain is the first unified and broadly accessible;

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Nonlinear Dynamics in Computational Neuroscience

dynamical approaches to understanding neural computation, and from the simulation of brain circuits to the development of engineering devices and;

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The Computational Brain

foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future;

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Neural Information Processing

study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial;

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Theoretical Neuroscience

uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical;

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Computational Neuroscience

summaries of recent results. Leading researchers address the structure of the brain and the computational problems associated with describing and;

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Principles of Neural Design

demonstrate the routes to efficiency in an integrated molecular system, phototransduction. They show that the principles of neural design at finer;

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Brain-Machine Interaction Engineering

interfaces, this book compares the theory and performance of new neural engineering approaches for BMIs.;

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Neural Control Engineering

Neural Control Engineering the reader acquires a working knowledge of the fundamentals of control theory and computational neuroscience;

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Computational Explorations in Cognitive Neuroscience

Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units;

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An Introduction to Natural Computation

Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently;

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An Introduction to Natural Computation

Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently;

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Mathematical and Theoretical Neuroscience

This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics;

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Neuroprosthetics

neural sensing and stimulation as a therapeutic intervention for complex disorders of the brain. It covers the theory and applications behind;

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Neuroprosthetics

neural sensing and stimulation as a therapeutic intervention for complex disorders of the brain. It covers the theory and applications behind;

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Computational Neuroscience

understand the development, structure and information-processing of the nervous system. It also attempts to understand the principles that govern the;

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Intelligent Computing Theories

organized in topical sections on neural networks, nature inspired computing and optimization, cognitive science and computational neuroscience;

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The Neuroscience of Language

computational, connectionist neural network. The linguistic emphasis is on words and elementary syntactic rules. Introductory chapters focus on neuronal;

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The Neuroscience of Language

computational, connectionist neural network. The linguistic emphasis is on words and elementary syntactic rules. Introductory chapters focus on neuronal;

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Computational Neuroscience

of complexity, from molecular interactions within single neurons to the processing of information by neural networks. He avoids theoretical mathematics;

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Principles of Computational Modelling in Neuroscience

construction and analysis of computational models at many different levels. This book provides a step-by-step accountof how to model the neuron and;

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Functional Brain Mapping Methods and Aims

suitable for various scientific tasks in fundamental and clinical neuroscience. It also shares information on novel methods in computational;

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