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Correlative Learning

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience;

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Learning and Computational Neuroscience Foundations of Adaptive Networks

Learning and Computational Neuroscience presents recent advances in understanding the brain processes underlying learning and memory;

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Computational Neuroscience: Second Latin American Workshop, Lawcn 2019, São João Del-Rei, Brazil, September 18-20, 2019, Proceedings

and complex networks; computational neuroscience of learning and memory; neural signal processing; software and hardware implementations;

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Philosophy of Computational Cultural Neuroscience

This book aims to illuminate theoretical and methodological advances in computational cultural neuroscience and the implications of these;

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Philosophy of Computational Cultural Neuroscience

This book aims to illuminate theoretical and methodological advances in computational cultural neuroscience and the implications of these;

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Data-Driven Computational Neuroscience

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain;

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Neural Networks and Analog Computation: Beyond the Turing Limit

The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer;

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An Introduction to Neural Networks

decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and;

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Memory and the Computational Brain

Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and;

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Memory and the Computational Brain

Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and;

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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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Computational Mechanics with Neural Networks

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other;

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Computational Mechanics with Neural Networks

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other;

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Computational Neuroscience

retina to object recognition, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning;

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Computational Explorations in Cognitive Neuroscience

neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area;

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The Computational Brain

Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range;

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The Computational Brain

of neurons represent and compute? These are the central questions probed byThe Computational Brain. Churchland and Sejnowski address the;

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Adaptive Learning Methods for Nonlinear System Modeling

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning;

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Flow Adaptive Schemes

A study in the development of flow adaptive numerical schemes in computational hydraulics directed to enhancing modelling capabilities;

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Network-Oriented Modeling for Adaptive Networks

themselves can usually be modeled using a neat, declarative, and conceptually transparent Network-Oriented Modeling approach. In contrast, adaptive;

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Network-Oriented Modeling for Adaptive Networks

themselves can usually be modeled using a neat, declarative, and conceptually transparent Network-Oriented Modeling approach. In contrast, adaptive;

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Computational Neuroscience for Advancing Artificial Intelligence

lies in its theoretical advances, which are grounded in an understanding of computational and biological learning. The approach taken moves the;

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Reinforcement Learning

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational;

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Transactions on Computational Science XVII

original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating;

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Agent-Based Computational Economics

economics and why do we need agent-based economic modelling of economy? This book provides a review of the development of agent-based computational;

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Foundations of Educational Technology

design, and instructional systems development. As the implementation of online, blended, hybrid, mobile, open, and adaptive learning systems;

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Foundations of Educational Technology

design, and instructional systems development. As the implementation of online, blended, hybrid, mobile, open, and adaptive learning systems;

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