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Computational Explorations In Cognitive Neuroscience


Computational Explorations In Cognitive Neuroscience
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Computational Explorations In Cognitive Neuroscience


Computational Explorations In Cognitive Neuroscience
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Author : Randall C. O'Reilly
language : en
Publisher: MIT Press
Release Date : 2000-08-28

Computational Explorations In Cognitive Neuroscience written by Randall C. O'Reilly and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-08-28 with Medical categories.


This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by 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 in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.



Computational Explorations In Cognitive Neuroscience


Computational Explorations In Cognitive Neuroscience
DOWNLOAD
Author : Randall C. O'Reilly
language : en
Publisher: MIT Press
Release Date : 2000-08-28

Computational Explorations In Cognitive Neuroscience written by Randall C. O'Reilly and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-08-28 with Medical categories.


This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by 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 in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.



A Short Dialogue Betwixt Necessitato And Liberato


A Short Dialogue Betwixt Necessitato And Liberato
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Author :
language : en
Publisher:
Release Date : 1746

A Short Dialogue Betwixt Necessitato And Liberato written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1746 with Necessitarian or Best scheme categories.




The Cambridge Handbook Of Computational Cognitive Sciences


The Cambridge Handbook Of Computational Cognitive Sciences
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Author : Ron Sun
language : en
Publisher: Cambridge University Press
Release Date : 2023-05-11

The Cambridge Handbook Of Computational Cognitive Sciences written by Ron Sun and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-11 with Psychology categories.


The Cambridge Handbook of Computational Cognitive Sciences is a comprehensive reference for this rapidly developing and highly interdisciplinary field. Written with both newcomers and experts in mind, it provides an accessible introduction of paradigms, methodologies, approaches, and models, with ample detail and illustrated by examples. It should appeal to researchers and students working within the computational cognitive sciences, as well as those working in adjacent fields including philosophy, psychology, linguistics, anthropology, education, neuroscience, artificial intelligence, computer science, and more.





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Author :
language : en
Publisher: IOS Press
Release Date :

written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




The Cambridge Handbook Of Computational Psychology


The Cambridge Handbook Of Computational Psychology
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Author : Ron Sun
language : en
Publisher: Cambridge University Press
Release Date : 2008-04-28

The Cambridge Handbook Of Computational Psychology written by Ron Sun and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-28 with Computers categories.


A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.



The Oxford Handbook Of Philosophy Of Cognitive Science


The Oxford Handbook Of Philosophy Of Cognitive Science
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Author : Eric Margolis
language : en
Publisher: Oxford University Press
Release Date : 2012-02-23

The Oxford Handbook Of Philosophy Of Cognitive Science written by Eric Margolis and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-23 with Philosophy categories.


This volume offers an overview of the philosophy of cognitive science that balances breadth and depth, with chapters covering every aspect of the psychology and cognitive anthropology.



From Neuron To Cognition Via Computational Neuroscience


From Neuron To Cognition Via Computational Neuroscience
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Author : Michael A. Arbib
language : en
Publisher: MIT Press
Release Date : 2016-11-04

From Neuron To Cognition Via Computational Neuroscience written by Michael A. Arbib and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-04 with Science categories.


A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders in the field, and carefully integrated by the editors—cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language—the core of human cognition. The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter). Contributors Michael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille



Proceedings Of The European Cognitive Science Conference 2007


Proceedings Of The European Cognitive Science Conference 2007
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Author : Stella Vosniadou
language : en
Publisher: Taylor & Francis
Release Date : 2017-09-29

Proceedings Of The European Cognitive Science Conference 2007 written by Stella Vosniadou and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-29 with Psychology categories.


This volume contains the invited lectures, invited symposia, symposia, papers and posters presented at the 2nd European Cognitive Science Conference held in Greece in May 2007. The papers presented in this volume range from empirical psychological studies and computational models to philosophical arguments, meta-analyses and even to neuroscientific experimentation. The quality of the work shows that the Cognitive Science Society in Europe is an exciting and vibrant one. There are 210 contributions by cognitive scientists from 27 different countries, including USA, France, UK, Germany, Greece, Italy, Belgium, Japan, Spain, the Netherlands, and Australia. This book will be of interest to anyone concerned with current research in Cognitive Science.



Implicit Learning


Implicit Learning
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Author : Axel Cleeremans
language : en
Publisher: Routledge
Release Date : 2019-03-20

Implicit Learning written by Axel Cleeremans and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-20 with Psychology categories.


Can we learn without knowing we are learning? To what extent is our behavior influenced by things we fail to perceive? What is the relationship between conscious and unconscious cognition? Implicit Learning: 50 Years On tackles these key questions, fifty years after the publication of Arthur Reber’s seminal text. Providing an overview of recent developments in the field, the volume considers questions about the computational foundations of learning, alongside phenomena including conditioning, memory formation and consolidation, associative learning, cognitive development, and language learning. Featuring contributions from international researchers, the book uniquely integrates ‘Western’ thinking on implicit learning with insights from a rich Russian research tradition. This approach offers an excellent opportunity to contrast perspectives, to introduce new experimental paradigms, and to contribute to ongoing debates about the very nature of implicit learning. Implicit Learning: 50 Years On is essential reading for students and researchers of consciousness, specifically those interested in implicit learning.