Fundamentals of Computational Neuroscience

Fundamentals of Computational Neuroscience
Author: Thomas Trappenberg
Publsiher: Oxford University Press
Total Pages: 417
Release: 2010
ISBN: 0199568413
Category: Mathematics
Language: EN, FR, DE, ES & NL

Fundamentals of Computational Neuroscience Book Excerpt:

The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain.

Fundamentals of Computational Neuroscience

Fundamentals of Computational Neuroscience
Author: Thomas Trappenberg
Publsiher: Oxford University Press
Total Pages: 411
Release: 2023-03-08
ISBN: 0192869361
Category: Medical
Language: EN, FR, DE, ES & NL

Fundamentals of Computational Neuroscience Book Excerpt:

Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing our understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the previous editions. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies. Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book will be the essential text for anyone in the brain sciences who wants to get to grips with this topic.

Fundamentals of Computational Neuroscience

Fundamentals of Computational Neuroscience
Author: Thomas Trappenberg
Publsiher: Oxford University Press
Total Pages: 411
Release: 2022-12-08
ISBN: 0192696130
Category: Medical
Language: EN, FR, DE, ES & NL

Fundamentals of Computational Neuroscience Book Excerpt:

Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing our understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the previous editions. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies. Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book will be the essential text for anyone in the brain sciences who wants to get to grips with this topic.

Fundamentals of Computational Neuroscience

Fundamentals of Computational Neuroscience
Author: Rebecca Sanchez
Publsiher: States Academic Press
Total Pages: 245
Release: 2021-11-16
ISBN: 9781639892235
Category: Computers
Language: EN, FR, DE, ES & NL

Fundamentals of Computational Neuroscience Book Excerpt:

The branch of neuroscience which makes use of mathematical models, abstractions and theoretical analysis of the brain is called computational neuroscience. It attempts to understand the principles which govern the structure, development, physiology and cognitive abilities of the human nervous system. Some of important areas of research under this discipline are single neuron modeling, sensory processing, motor control, behavior of networks, memory and synaptic plasticity, consciousness, visual attention, identification, etc. The commonly used software applications for simulating the theoretical models in computational neuroscience are BRIAN, Emergent, GENESIS and NEST. This book attempts to understand the multiple branches that fall under the discipline of computational neuroscience and how such concepts have practical applications. It elucidates the concepts and innovative models around prospective developments with respect to computational neuroscience. This book aims to serve as a resource guide for students and experts alike and contribute to the growth of the discipline.

Lectures in Supercomputational Neuroscience

Lectures in Supercomputational Neuroscience
Author: Peter Graben,Changsong Zhou,Marco Thiel,Jürgen Kurths
Publsiher: Springer
Total Pages: 377
Release: 2007-10-19
ISBN: 3540731598
Category: Science
Language: EN, FR, DE, ES & NL

Lectures in Supercomputational Neuroscience Book Excerpt:

Written from the physicist’s perspective, this book introduces computational neuroscience with in-depth contributions by system neuroscientists. The authors set forth a conceptual model for complex networks of neurons that incorporates important features of the brain. The computational implementation on supercomputers, discussed in detail, enables you to adapt the algorithm for your own research. Worked-out examples of applications are provided.

Computational Modelling in Behavioural Neuroscience

Computational Modelling in Behavioural Neuroscience
Author: Dietmar Heinke,Eirini Mavritsaki
Publsiher: Psychology Press
Total Pages: 375
Release: 2009-04-03
ISBN: 1135430039
Category: Psychology
Language: EN, FR, DE, ES & NL

Computational Modelling in Behavioural Neuroscience Book Excerpt:

Classically, behavioural neuroscience theorizes about experimental evidence in a qualitative way. However, more recently there has been an increasing development of mathematical and computational models of experimental results, and in general these models are more clearly defined and more detailed than their qualitative counter parts. These new computational models can be set up so that they are consistent with both single neuron and whole-system levels of operation, allowing physiological results to be meshed with behavioural data – thus closing the gap between neurophysiology and human behaviour. There is considerable diversity between models with respect to the methodology of designing a model, the degree to which neurophysiological processes are taken into account and the way data (behavioural, electrophysiological, etc) constrains a model. This book presents examples of this diversity and in doing so represents the state-of-art in the field through a unique collection of papers from the world's leading researchers in the area of computational modelling in behavioural neuroscience. Based on talks given at the third Behavioural Brain Sciences Symposium, held at the Behavioural Brain Sciences Centre, University of Birmingham, in May 2007, the book appeals to a broad audience, from postgraduate students beginning to work in the field to experienced experimenters interested in an overview.

Computational Maps in the Visual Cortex

Computational Maps in the Visual Cortex
Author: Risto Miikkulainen,James A. Bednar,Yoonsuck Choe,Joseph Sirosh
Publsiher: Springer Science & Business Media
Total Pages: 538
Release: 2006-01-16
ISBN: 0387288066
Category: Science
Language: EN, FR, DE, ES & NL

Computational Maps in the Visual Cortex Book Excerpt:

For more than 30 years, the visual cortex has been the source of new theories and ideas about how the brain processes information. The visual cortex is easily accessible through a variety of recording and imagining techniques and allows mapping of high level behavior relatively directly to neural mechanisms. Understanding the computations in the visual cortex is therefore an important step toward a general theory of computational brain theory.

Encyclopedia of Artificial Intelligence The Past Present and Future of AI

Encyclopedia of Artificial Intelligence  The Past  Present  and Future of AI
Author: Philip L. Frana,Michael J. Klein
Publsiher: ABC-CLIO
Total Pages: 378
Release: 2021-04-07
ISBN: 1440853274
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Encyclopedia of Artificial Intelligence The Past Present and Future of AI Book Excerpt:

This authoritative reference work will provide readers with a complete overview of artificial intelligence (AI), including its historic development and current status; existing and projected AI applications; and present and potential future impact on the United States and the world. Some people believe that artificial intelligence (AI) will revolutionize modern life in ways that improve human existence. Others say that the promise of AI is overblown. Still others contend that AI applications could pose a grave threat to the economic security of millions of people by taking their jobs and otherwise rendering them "obsolete"—or, even worse, that AI could actually spell the end of the human race. This volume will help users understand the reasons AI development has both spirited defenders and alarmed critics; explain theories and innovations like Moore's Law, mindcloning, and Technological Singularity that drive AI research and debate; and give readers the information they need to make their own informed judgment about the promise and peril of this technology. All of this coverage is presented using language and terminology accessible to a lay audience. Introduction explaining the historical evolution of AI Chronology of important AI-related events Authoritative entries on leading pioneers, entrepreneurs, and thinkers; AI concepts and theories; AI's potential impact on different facets of society; and major movies and other cultural touchstones exploring AI technology

An Introduction to Neural Information Processing

An Introduction to Neural Information Processing
Author: Peiji Liang,Si Wu,Fanji Gu
Publsiher: Springer
Total Pages: 328
Release: 2015-12-22
ISBN: 9401773939
Category: Medical
Language: EN, FR, DE, ES & NL

An Introduction to Neural Information Processing Book Excerpt:

This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.

Unconventional Computation and Natural Computation

Unconventional Computation and Natural Computation
Author: Oscar H. Ibarra,Lila Kari,Steffen Kopecki
Publsiher: Springer
Total Pages: 394
Release: 2014-07-08
ISBN: 3319081233
Category: Computers
Language: EN, FR, DE, ES & NL

Unconventional Computation and Natural Computation Book Excerpt:

This book constitutes the refereed proceedings of the 13th International Conference on Unconventional Computation and Natural Computation, UCNC 2014, held in London, ON, Canada, in July 2014. The 31 revised full papers were carefully reviewed and selected from 79 submissions. The papers cover a wide range of topics including among others molecular, quantum, optical and chaos computing as well as neural computation, evolutionary computation, swarm intelligence and computational neuroscience.

Modelling Methodology for Physiology and Medicine

Modelling Methodology for Physiology and Medicine
Author: Ewart Carson,Claudio Cobelli
Publsiher: Newnes
Total Pages: 588
Release: 2013-12-05
ISBN: 0124095259
Category: Science
Language: EN, FR, DE, ES & NL

Modelling Methodology for Physiology and Medicine Book Excerpt:

Modelling Methodology for Physiology and Medicine, Second Edition, offers a unique approach and an unprecedented range of coverage of the state-of-the-art, advanced modeling methodology that is widely applicable to physiology and medicine. The second edition, which is completely updated and expanded, opens with a clear and integrated treatment of advanced methodology for developing mathematical models of physiology and medical systems. Readers are then shown how to apply this methodology beneficially to real-world problems in physiology and medicine, such as circulation and respiration. The focus of Modelling Methodology for Physiology and Medicine, Second Edition, is the methodology that underpins good modeling practice. It builds upon the idea of an integrated methodology for the development and testing of mathematical models. It covers many specific areas of methodology in which important advances have taken place over recent years and illustrates the application of good methodological practice in key areas of physiology and medicine. It builds on work that the editors have carried out over the past 30 years, working in cooperation with leading practitioners in the field. Builds upon and enhances the reader's existing knowledge of modeling methodology and practice Editors are internationally renowned leaders in their respective fields Provides an understanding of modeling methodologies that can address real problems in physiology and medicine and achieve results that are beneficial either in advancing research or in providing solutions to clinical problems

Dynamic Thinking

Dynamic Thinking
Author: Gregor Schöner,John Spencer,DFT Research Group
Publsiher: Oxford University Press
Total Pages: 288
Release: 2015-11-12
ISBN: 0199300585
Category: Psychology
Language: EN, FR, DE, ES & NL

Dynamic Thinking Book Excerpt:

Dynamic Thinking: A Primer on Dynamic Field Theory introduces the reader to a new approach to understanding cognitive and neural dynamics using the concepts of Dynamic Field Theory (DFT). Dynamic Neural Fields are formalizations of how neural populations represent the continuous dimensions of perceptual features, movements, and cognitive decisions. The concepts of DFT establish links between brain and behavior, revealing ways in which models of brain function can be tested with both neural and behavioral measures. Thus, DFT bridges the gap between brain and behavior, between neuroscience and the behavioral sciences. The book provides systematic tutorials on the central concepts of DFT and their grounding in both dynamical systems theory and neurophysiology. The concrete mathematical implementation of these concepts is laid out, supported by hands-on exercises that make use of interactive simulators in MATLAB. The book also contains a large set of exemplary case studies in which the concepts and associated models are used to understand how elementary forms of embodied cognition emerge and develop.

Recent Developments in Biologically Inspired Computing

Recent Developments in Biologically Inspired Computing
Author: Leandro N. De Castro,Fernando J. Von Zuben
Publsiher: IGI Global
Total Pages: 439
Release: 2005-01-01
ISBN: 1591403146
Category: Computers
Language: EN, FR, DE, ES & NL

Recent Developments in Biologically Inspired Computing Book Excerpt:

Recent Developments in Biologically Inspired Computing is necessary reading for undergraduate and graduate students, and researchers interested in knowing the most recent advances in problem solving techniques inspired by nature. This book covers the most relevant areas in computational intelligence, including evolutionary algorithms, artificial neural networks, artificial immune systems and swarm systems. It also brings together novel and philosophical trends in the exciting fields of artificial life and robotics. This book has the advantage of covering a large number of computational approaches, presenting the state-of-the-art before entering into the details of specific extensions and new developments. Pseudocodes, flow charts and examples of applications are provided so as to help newcomers and mature researchers to get the point of the new approaches presented.

Jasper s Basic Mechanisms of the Epilepsies

Jasper s Basic Mechanisms of the Epilepsies
Author: Jeffrey L. Noebels,Massimo Avoli
Publsiher: OUP USA
Total Pages: 1258
Release: 2012-06-29
ISBN: 0199746540
Category: Medical
Language: EN, FR, DE, ES & NL

Jasper s Basic Mechanisms of the Epilepsies Book Excerpt:

Jasper's Basic Mechanisms, Fourth Edition, is the newest most ambitious and now clinically relevant publishing project to build on the four-decade legacy of the Jasper's series. In keeping with the original goal of searching for "a better understanding of the epilepsies and rational methods of prevention and treatment.", the book represents an encyclopedic compendium neurobiological mechanisms of seizures, epileptogenesis, epilepsy genetics and comordid conditions. Of practical importance to the clinician, and new to this edition are disease mechanisms of genetic epilepsies and therapeutic approaches, ranging from novel antiepileptic drug targets to cell and gene therapies.

Explanation and Integration in Mind and Brain Science

Explanation and Integration in Mind and Brain Science
Author: David M. Kaplan
Publsiher: Oxford University Press
Total Pages: 269
Release: 2017
ISBN: 0199685509
Category: Philosophy
Language: EN, FR, DE, ES & NL

Explanation and Integration in Mind and Brain Science Book Excerpt:

Is the relationship between psychology and neuroscience one of autonomy or mutual constraint and integration? This volume includes new papers from leading philosophers seeking to address this issue by deepening our understanding of the similarities and differences between the explanatory patterns employed across these domains.

Advances in Artificial Intelligence

Advances in Artificial Intelligence
Author: Denilson Barbosa,Evangelos Milios
Publsiher: Springer
Total Pages: 361
Release: 2015-04-28
ISBN: 3319183567
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, held in Halifax, Nova Scotia, Canada, in June 2015.The 15 regular papers and 12 short papers presented together with 8 papers from the Graduate Student Symposium were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections such as agents, uncertainty and games; AI applications; NLP, text and social media mining; data mining and machine learning.

Artificial General Intelligence 2008

Artificial General Intelligence 2008
Author: P. Wang,B. Goertzel,S. Franklin
Publsiher: IOS Press
Total Pages: 520
Release: 2008-02-18
ISBN: 1607503093
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial General Intelligence 2008 Book Excerpt:

The field of Artificial Intelligence (AI) was initially directly aimed at the construction of ‘thinking machines’ – that is, computer systems with human-like general intelligence. But this task proved more difficult than expected. As the years passed, AI researchers gradually shifted focus to producing AI systems that intelligently approached specific tasks in relatively narrow domains. In recent years, however, more and more AI researchers have recognized the necessity – and the feasibility – of returning to the original goal of the field. Increasingly, there is a call to focus less on highly specialized ‘narrow AI’ problem solving systems, and more on confronting the difficult issues involved in creating ‘human-level intelligence’, and ultimately general intelligence that goes beyond the human level in various ways. Artificial General Intelligence (AGI), as this renewed focus has come to be called, attempts to study and reproduce intelligence as a whole in a domain independent way. Encouraged by the recent success of several smaller-scale AGI-related meetings and special tracks at conferences, the initiative to organize the very first international conference on AGI was taken, with the goal to give researchers in the field an opportunity to present relevant research results and to exchange ideas on topics of common interest. In this collection you will find the conference papers: full-length papers, short position statements and also the papers presented in the post conference workshop on the sociocultural, ethical and futurological implications of AGI.

Cognitive Science

Cognitive Science
Author: José Luis Bermúdez
Publsiher: Cambridge University Press
Total Pages: 135
Release: 2020-01-31
ISBN: 1108585418
Category: Psychology
Language: EN, FR, DE, ES & NL

Cognitive Science Book Excerpt:

The Third Edition of this popular and engaging text consolidates the interdisciplinary streams of cognitive science to present a unified narrative of cognitive science as a discipline in its own right. It teaches students to apply the techniques and theories of the cognitive scientist's 'toolkit' - the vast range of methods and tools that cognitive scientists use to study the mind. Thematically organized, Cognitive Science underscores the problems and solutions of cognitive science rather than more narrowly examining individually the subjects that contribute to it - psychology, neuroscience, linguistics, and so on. The generous use of examples, illustrations, and applications demonstrates how theory is applied to unlock the mysteries of the human mind. Drawing upon cutting-edge research, the text has been substantially revised, with new material on Bayesian approaches to the mind and on deep learning. An extensive on-line set of resources is available to aid instructors and students alike. Sample syllabi show how the text can support a variety of courses, making it a highly flexible teaching and learning resource at both the undergraduate and graduate levels.

Connectionist Models of Neurocognition and Emergent Behavior

Connectionist Models of Neurocognition and Emergent Behavior
Author: Eddy J. Davelaar
Publsiher: World Scientific
Total Pages: 380
Release: 2011-05-31
ISBN: 9814340340
Category: Computers
Language: EN, FR, DE, ES & NL

Connectionist Models of Neurocognition and Emergent Behavior Book Excerpt:

This volume collects together most of the papers presented at the Twelfth Neural Computation and Psychology Workshop (NCPW12) held in 2010 at Birkbeck College (England). The conference invited submissions on neurocomputational models of all cognitive and psychological processes. The special theme of this conference was "From Theory to Applications," which allowed submissions of pure theoretical work and of pure applied work. This topic extended the boundaries of the conference and highlighted the extent to which computational models of cognition and models in general are integrated in the cognitive sciences. The chapters in this book cover a wide range of research topics in neural computation and psychology, including cognitive development, language processing, higher-level cognition, but also ecology-based modeling of cognition, philosophy of science, and real-world applications.

Connectionist Models of Cognition and Perception II

Connectionist Models of Cognition and Perception II
Author: Howard Bowman,Christophe Labiouse
Publsiher: World Scientific
Total Pages: 320
Release: 2004-04-15
ISBN: 9814482935
Category: Computers
Language: EN, FR, DE, ES & NL

Connectionist Models of Cognition and Perception II Book Excerpt:

This book collects together refereed versions of papers presented at the Eighth Neural Computation and Psychology Workshop (NCPW 8). NCPW is a well-established workshop series that brings together researchers from different disciplines, such as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology. The articles are centred on the theme of connectionist modelling of cognition and perceptionn. The proceedings have been selected for coverage in: • 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 Contents:An Extended Buffer Model for Active Maintenance and Selective Updating (E J Davelaar & M Usher)Applying Forward Models to Sequence Learning: A Connectionist Implementation (D Theofilou, A Destrebecqz & A Cleeremans)Modelling Asymmetric Infant Categorization with the Representational Acuity Hypothesis (G Westermann & D Mareschal)Solving the Visual Expertise Mystery (C A Joyce & G W Cottrell)Through Attention to Consciousness by CODAM (J G Taylor)Modeling Visual Search: Evolving the Selective Attention for Identification Model (SAIM) (D Heinke, G W Humphreys & C L Tweed)A Temporal Attractor Framework for the Development of Analogical Completion (R Leech, D Mareschal & R Cooper)On the Evolution of Irrational Behaviour (J A Bullinaria)Reading, Sublexical Units and Scrambled Words: Capturing the Human Data (R C Shillcock & P Monaghan)and other papers Readership: Graduate students, academics and researchers in neural networks, artificial intelligence and psychology. Keywords:Neural Networks;Connectionism;Psychology;Perception;Cognition