[PDF] The Neural Simulation Language - eBooks Review

The Neural Simulation Language


The Neural Simulation Language
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The Neural Simulation Language


The Neural Simulation Language
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Author : Alfredo Weitzenfeld
language : en
Publisher: MIT Press
Release Date : 2002

The Neural Simulation Language written by Alfredo Weitzenfeld and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.


Simulation in NSL - Modeling in NSL - Schematic Capture System - User Interface and Graphical Windows - The Modeling Language NSLM - The Scripting Language NSLS - Adaptive Resonance Theory - Depth Perception - Retina - Receptive Fields - The Associative Search Network: Landmark Learning and Hill Climbing - A Model of Primate Visual-Motor Conditional Learning - The Modular Design of the Oculomotor System in Monkeys - Crowley-Arbib Saccade Model - A Cerebellar Model of Sensorimotor Adaptation - Learning to Detour - Face Recognition by Dynamic Link Matching - Appendix I : NSLM Methods - NSLJ Extensions - NSLC Extensions - NSLJ and NSLC Differences - NSLJ and NSLC Installation Instructions.



Encyclopedia Of Computational Neuroscience


Encyclopedia Of Computational Neuroscience
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Author : Dieter Jaeger
language : en
Publisher:
Release Date :

Encyclopedia Of Computational Neuroscience written by Dieter Jaeger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computational neuroscience categories.




Computing The Brain


Computing The Brain
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Author : Michael A. Arbib
language : en
Publisher: Elsevier
Release Date : 2001-04-02

Computing The Brain written by Michael A. Arbib and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-04-02 with Science categories.


Computing the Brain provides readers with an integrated view of current informatics research related to the field of neuroscience. This book clearly defines the new work being done in neuroinformatics and offers information on resources available on the Web to researchers using this new technology. It contains chapters that should appeal to a multidisciplinary audience with introductory chapters for the nonexpert reader. Neuroscientists will find this book an excellent introduction to informatics technologies and the use of these technologies in their research. Computer scientists will be interested in exploring how these technologies might benefit the neuroscience community. - An integrated view of neuroinformatics for a multidisciplinary audience - Explores and explains new work being done in neuroinformatics - Cross-disciplinary with chapters for computer scientists and neuroscientists - An excellent tool for graduate students coming to neuroinformatics research from diverse disciplines and for neuroscientists seeking a comprehensive introduction to the subject - Discusses, in-depth, the structuring of masses of data by a variety of computational models - Clearly defines computational neuroscience - the use of computational techniques and metaphors to investigate relations between neural structure and function - Offers a guide to resources and algorithms that can be found on the Web - Written by internationally renowned experts in the field



Modeling Language Cognition And Action Proceedings Of The Ninth Neural Computation And Psychology Workshop


Modeling Language Cognition And Action Proceedings Of The Ninth Neural Computation And Psychology Workshop
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Author : Angelo Cangelosi
language : en
Publisher: World Scientific
Release Date : 2005-05-19

Modeling Language Cognition And Action Proceedings Of The Ninth Neural Computation And Psychology Workshop written by Angelo Cangelosi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-05-19 with Psychology categories.


This volume collects together peer reviewed versions of most of the papers presented at the Ninth Neural Computation and Psychology Workshop (NCPW9), held in 2004 at the University of Plymouth (England). The conference invited submissions on neural computation models of all cognitive and psychological processes. The special theme of this year's workshop was “Modeling of Language, Cognition and Action. This topic had the aim to extend the conference appeal from the connectionist psychology community to leaders in neuroscience, robotics and cognitive systems design.The chapters cover the breadth of research in neural computation and psychology, with numerous papers that focus on language modeling, this year's special theme. The book includes chapters from internationally renowned researchers in the various fields of cognitive psychology (such as Art Glenberg and Jonathan Evans) as well as computer science and robotics (such as Stefan Wermter & Stefano Nolfi).The proceedings have been selected for coverage in:• Neuroscience Citation Index®• Index to Scientific & Technical Proceedings® (ISTP® / ISI Proceedings)• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• Index to Social Sciences & Humanities Proceedings® (ISSHP® / ISI Proceedings)• Index to Social Sciences & Humanities Proceedings (ISSHP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical Sciences• CC Proceedings — Biomedical, Biological & Agricultural Sciences



The Neural Basis Of Mentalizing


The Neural Basis Of Mentalizing
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Author : Michael Gilead
language : en
Publisher: Springer Nature
Release Date : 2021-05-11

The Neural Basis Of Mentalizing written by Michael Gilead and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-11 with Psychology categories.


Humans have a unique ability to understand the beliefs, emotions, and intentions of others—a capacity often referred to as mentalizing. Much research in psychology and neuroscience has focused on delineating the mechanisms of mentalizing, and examining the role of mentalizing processes in other domains of cognitive and affective functioning. The purpose of the book is to provide a comprehensive overview of the current research on the mechanisms of mentalizing at the neural, algorithmic, and computational levels of analysis. The book includes contributions from prominent researchers in the field of social-cognitive and affective neuroscience, as well as from related disciplines (e.g., cognitive, social, developmental and clinical psychology, psychiatry, philosophy, primatology). The contributors review their latest research in order to compile an authoritative source of knowledge on the psychological and brain bases of the unique human capacity to think about the mental states of others. The intended audience is researchers and students in the fields of social-cognitive and affective neuroscience and related disciplines such as neuroeconomics, cognitive neuroscience, developmental neuroscience, social cognition, social psychology, developmental psychology, cognitive psychology, and affective science. Secondary audiences include researchers in decision science (economics, judgment and decision-making), philosophy of mind, and psychiatry.



Neural Organization


Neural Organization
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Author : Michael A. Arbib
language : en
Publisher: MIT Press
Release Date : 1998

Neural Organization 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 1998 with Medical categories.


In Neural Organization, Arbib, Erdi, and Szentagothai integrate structural, functional, and dynamical approaches to the interaction of brain models and neurobiologcal experiments. Both structure-based "bottom-up" and function- based "top-down" models offer coherent concepts by which to evaluate the experimental data. The goal of this book is to point out the advantages of a multidisciplinary, multistrategied approach to the brain.Part I of Neural Organization provides a detailed introduction to each of the three areas of structure, function, and dynamics. Structure refers to the anatomical aspects of the brain and the relations between different brain regions. Function refers to skills and behaviors, which are explained by means of functional schemas and biologically based neural networks. Dynamics refers to the use of a mathematical framework to analyze the temporal change of neural activities and synaptic connectivities that underlie brain development and plasticity--in terms of both detailed single-cell models and large-scale network models.In part II, the authors show how their systematic approach can be used to analyze specific parts of the nervous system--the olfactory system, hippocampus, thalamus, cerebral cortex, cerebellum, and basal ganglia--as well as to integrate data from the study of brain regions, functional models, and the dynamics of neural networks. In conclusion, they offer a plan for the use of their methods in the development of cognitive neuroscience."



The Neuron Book


The Neuron Book
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Author : Nicholas T. Carnevale
language : en
Publisher: Cambridge University Press
Release Date : 2006-01-12

The Neuron Book written by Nicholas T. Carnevale 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 2006-01-12 with Medical categories.


The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.



Neural Network Simulation Environments


Neural Network Simulation Environments
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Author : Josef Skrzypek
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Neural Network Simulation Environments written by Josef Skrzypek and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.


Neural Network Simulation Environments describes some of the best examples of neural simulation environments. All current neural simulation tools can be classified into four overlapping categories of increasing sophistication in software engineering. The least sophisticated are undocumented and dedicated programs, developed to solve just one specific problem; these tools cannot easily be used by the larger community and have not been included in this volume. The next category is a collection of custom-made programs, some perhaps borrowed from other application domains, and organized into libraries, sometimes with a rudimentary user interface. More recently, very sophisticated programs started to appear that integrate advanced graphical user interface and other data analysis tools. These are frequently dedicated to just one neural architecture/algorithm as, for example, three layers of interconnected artificial `neurons' learning to generalize input vectors using a backpropagation algorithm. Currently, the most sophisticated simulation tools are complete, system-level environments, incorporating the most advanced concepts in software engineering that can support experimentation and model development of a wide range of neural networks. These environments include sophisticated graphical user interfaces as well as an array of tools for analysis, manipulation and visualization of neural data. Neural Network Simulation Environments is an excellent reference for researchers in both academia and industry, and can be used as a text for advanced courses on the subject.



Wcnn 93 Portland


Wcnn 93 Portland
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Author :
language : en
Publisher: Psychology Press
Release Date : 1993

Wcnn 93 Portland written by and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computer science categories.




New Trends In Neural Computation


New Trends In Neural Computation
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Author : José Mira
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-05-27

New Trends In Neural Computation written by José Mira and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-05-27 with Computers categories.


Neural computation arises from the capacity of nervous tissue to process information and accumulate knowledge in an intelligent manner. Conventional computational machines have encountered enormous difficulties in duplicatingsuch functionalities. This has given rise to the development of Artificial Neural Networks where computation is distributed over a great number of local processing elements with a high degree of connectivityand in which external programming is replaced with supervised and unsupervised learning. The papers presented in this volume are carefully reviewed versions of the talks delivered at the International Workshop on Artificial Neural Networks (IWANN '93) organized by the Universities of Catalonia and the Spanish Open University at Madrid and held at Barcelona, Spain, in June 1993. The 111 papers are organized in seven sections: biological perspectives, mathematical models, learning, self-organizing networks, neural software, hardware implementation, and applications (in five subsections: signal processing and pattern recognition, communications, artificial vision, control and robotics, and other applications).