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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Stevens' Handbook of Experimental Psychology

; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning;

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An An Invitation to Cognitive Science

The chapters in this volume span many areas of cognitive science -- including artificial intelligence, neural network models, animal;

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Animal Learning and Cognition

of synaptic connections, provides several mechanistic descriptions of complex cognitive behaviors. Part I presents neural network theories;

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Neural Network Models of Cognition

of relatively simple processes for the understanding of cognition (complex behavior). Neural networks are held to serve the same function for behavioral;

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Neural Information Processing

follows: adversarial networks and learning; convolutional neural networks; deep neural networks; embeddings and feature fusion; human centred;

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Connectionist Models Of Cognition And Perception - Proceedings Of The Seventh Neural Computation And Psychology Workshop

Connectionist Models of Cognition and Perception collects together refereed versions of twenty-three papers presented at the Seventh Neural;

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Introduction to the Theory of Neural Computation

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides;

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Introduction to the Theory of Neural Computation

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides;

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Philosophy of Psychology

computational models of the mind neural network modeling rationality and mental causation perception, action and cognition the language of thought;

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Philosophy of Psychology

computational models of the mind neural network modeling rationality and mental causation perception, action and cognition the language of thought;

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Computational Models of Brain and Behavior

methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models;

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Neural Networks and Psychopathology

Research on connectionist models is one of the most exciting areas in cognitive science, and neural network models of psychopathology have;

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Neural Networks and Psychopathology

Research on connectionist models is one of the most exciting areas in cognitive science, and neural network models of psychopathology have;

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Neural Network Models

Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way;

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Cognitive Modeling

of human cognition. It covers major approaches and architectures, both neural network and symbolic; major theoretical issues; and specific;

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Neural Networks with R

Uncover the power of artificial neural networks by implementing them through R code. About This Book * Develop a strong background;

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Brits Speak Out

This work introduces concepts and algorithms in optimization theory for neural network research, covers the main neural network models and;

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Connectionist Models Of Neurocognition And Emergent Behavior

This volume collects together most of the papers presented at the Twelfth Neural Computation and Psychology Workshop (NCPW12) held in 2010;

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Epigenesis in neural network models of cognitive development

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Neural Network Methods in Natural Language Processing

Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data;

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Neural Network Methods in Natural Language Processing

Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data;

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PyTorch Recipes

Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new;

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Semi-empirical Neural Network Modeling and Digital Twins Development

Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network;

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Advances in Neural Networks - ISNN 2016

This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg;

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Building Neural Networks

This practical introduction describes the kinds of real-world problems neural network technology can solve. Surveying a range of neural;

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