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EBookClubs

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Book Computer Simulation in Brain Science

Download or read book Computer Simulation in Brain Science written by Rodney M. J. Cotterill and published by Cambridge University Press. This book was released on 1988-12-01 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forty-three of the leading experts in this burgeoning field have assembled to produce an exciting review of the many advances to date. The volume reviews the creation of computer models of neural function, of cognition, memory, and vision. The results and future directions explored here will have an important bearing on research into brain function, physiology, psychology, biophysics, and artificial intelligence.

Book The Computer Simulation of Behaviour

Download or read book The Computer Simulation of Behaviour written by Michael J Apter and published by Routledge. This book was released on 2018-05-15 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, originally published in 1970, concerns the new technique of computer simulation in psychology at the time. Computer programs described include models of learning, problem-solving, pattern recognition, the use of language, and personality. More general topics are discussed including the evaluation of such models, the relation of the field to cybernetics, and the problem posed by consciousness. Today it can be read and enjoyed in its historical context.

Book Neural and Brain Modeling

Download or read book Neural and Brain Modeling written by Ronald J. MacGregor and published by . This book was released on 1987 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Neural and Brain Modeling

Download or read book Neural and Brain Modeling written by Ronald MacGregor and published by Elsevier. This book was released on 2012-12-02 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural and Brain Modeling reviews models used to study neural interactions. The book also discusses 54 computer programs that simulate the dynamics of neurons and neuronal networks to illustrate between unit and systemic levels of nervous system functions. The models of neural and brain operations are composed of three sections: models of generic mechanisms; models of specific neuronal systems; and models of generic operations, networks, and systems. The text discusses the computational problems related to galvanizing a neuronal population though an activity in the multifiber input system. The investigator can use a computer technique to simulate multiple interacting neuronal populations. For example, he can investigate the case of a single local region that contains two populations of neurons: namely, a parent population of excitatory cells, and a second set of inhibitory neurons. Computer simulation models predict the various dynamic activity occurring in the complicated structure and physiology of neuronal systems. Computer models can be used in "top-down" brain/mind research where the systemic, global, and emergent properties of nervous systems are generated. The book is recommended for behavioral scientists, psychiatrists, psychologists, computer programmers, students, and professors in human behavior.

Book Vital Models

    Book Details:
  • Author :
  • Publisher : Academic Press
  • Release : 2017-08-15
  • ISBN : 0128125586
  • Pages : 248 pages

Download or read book Vital Models written by and published by Academic Press. This book was released on 2017-08-15 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of models has been important to the historical and contemporary study of the human brain, yet very little study by social scientists has been dedicated to how the brain sciences develop and use models to better understand what brains are and how they work, including the complex entanglements between brains, bodies and their environments. Vital Models: The Making and Use of Models in the Brain Sciences explores the history and use of brain models from clinical psychiatry to psychopharmacology and cybernetics, as well as developments in digital brain modeling, simulation, imaging and connectomics. This timely volume helps both scientists and students better understand the variety, strengths, weaknesses and applicability of models in neuroscience. - Presents a timely update on the topic of brain research and modeling techniques - Contains sections from true authorities in the field

Book Computational Explorations in Cognitive Neuroscience

Download or read book Computational Explorations in Cognitive Neuroscience written by Randall C. O'Reilly and published by MIT Press. This book was released on 2000-08-28 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Transforming Gaming and Computer Simulation Technologies across Industries

Download or read book Transforming Gaming and Computer Simulation Technologies across Industries written by Dubbels, Brock and published by IGI Global. This book was released on 2016-11-23 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, digital technologies have become more ubiquitous and integrated into everyday life. While once reserved mostly for personal uses, video games and similar innovations are now implemented across a variety of fields. Transforming Gaming and Computer Simulation Technologies across Industries is a pivotal reference source for the latest research on emerging simulation technologies and gaming innovations to enhance industry performance and dependency. Featuring extensive coverage across a range of relevant perspectives and topics, such as user research, player identification, and multi-user virtual environments, this book is ideally designed for engineers, professionals, practitioners, upper-level students, and academics seeking current research on gaming and computer simulation technologies across different industries.

Book Information Processing in the Cortex

Download or read book Information Processing in the Cortex written by Ad Aertsen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a tradition of theoretical brain science which started in the forties (Wiener, McCulloch, Turing, Craik, Hebb). This was continued by a small number of people without interruption up to the present. It has definitely provided main guiding lines for brain science, the devel opment of which has been spectacular in the last decades. However, within the bulk of experimental neuroscience, the theoreticians some times had a difficult stand, since it was felt that the times were not ripe yet and the methods not yet available for a development of a true theoretical speciality in this field. Thus theory remained in the hands of a fairly small club which recruited its members from theoretical physicists, mathematicians and some experimentalists with amateurish theoretical leanings. The boom of approaches which go by the name of 'computational neuroscience', 'neuronal networks', 'associative mem ory', 'spinglass theory', 'parallel processing' etc. should not blind one for the fact that the group of people professionally interested in real istic models of brain function up to the present date remains rather small and suffers from a lack of professional organization. It was against this background that we decided to organize a meet ing on Theoretical Brain Science. The meeting was held April 18 - 20, 1990 and took place at Schloss Ringberg, West-Germany, a facility sponsored by the Max-Planck-Society.

Book Introduction to Neural and Cognitive Modeling

Download or read book Introduction to Neural and Cognitive Modeling written by Daniel S. Levine and published by Lawrence Erlbaum Assoc Incorporated. This book was released on 1991 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text reviews the major theories of the mechanistic organization of cognitive functions -- learning, perception, categorization, motor control and decision making. An excellent introduction to neural networks, it integrates insights from neurobiology, psychology, computer science, and mathematics, making it particularly suitable for those with backgrounds in any of these fields. The history of neural networks and some of their major organizing principles are outlined here, as is the development of cognitive functions -- from the simple to the complex. Computer simulation exercises are also included, some of which implement known models, while others ask students to design networks.

Book An Introduction to Neural Information Processing

Download or read book An Introduction to Neural Information Processing written by Peiji Liang and published by Springer. This book was released on 2015-12-22 with total page 338 pages. Available in PDF, EPUB and Kindle. 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.

Book Mathematical Modeling and Simulation in Enteric Neurobiology

Download or read book Mathematical Modeling and Simulation in Enteric Neurobiology written by Roustem Miftahof and published by World Scientific. This book was released on 2009 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: The lack of scientists equally trained and prepared to understand both mathematics and biology/medicine hampers the development and application of computer simulation methods in biology and neurogastrobiology. Currently, there are no texts for navigating the extensive and intricate field of mathematical and computational modeling in neurogastrobiology. This book bridges the gap between mathematicians, computer scientists and biologists, and thus assists in the study and analysis of complex biological phenomena that cannot be done through traditional in vivo and in vitro experimental approaches. The book recognizes the complexity of biological phenomena under investigation and treats the subject matter with a degree of mathematical rigor. Special attention is given to computer simulations for interpolation and extrapolation of electromechanical and chemoelectrical phenomena, nonlinear self-sustained electromechanical wave activity, pharmacological effects including co-localization and co-transmission by multiple neurotransmitters, receptor polymodality, and drug interactions. Mathematical Modeling and Simulation in Enteric Neurobiology is an interdisciplinary book and is an essential source of information for biologists and doctors who are interested in knowing about the role and advantages of numerical experimentation in their subjects, as well as for mathematicians who are interested in exploring new areas of applications.

Book Computational Models for Neuroscience

Download or read book Computational Models for Neuroscience written by Robert Hecht-Nielsen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Formal study of neuroscience (broadly defined) has been underway for millennia. For example, writing 2,350 years ago, Aristotle! asserted that association - of which he defined three specific varieties - lies at the center of human cognition. Over the past two centuries, the simultaneous rapid advancements of technology and (conse quently) per capita economic output have fueled an exponentially increasing effort in neuroscience research. Today, thanks to the accumulated efforts of hundreds of thousands of scientists, we possess an enormous body of knowledge about the mind and brain. Unfortunately, much of this knowledge is in the form of isolated factoids. In terms of "big picture" understanding, surprisingly little progress has been made since Aristotle. In some arenas we have probably suffered negative progress because certain neuroscience and neurophilosophy precepts have clouded our self-knowledge; causing us to become largely oblivious to some of the most profound and fundamental aspects of our nature (such as the highly distinctive propensity of all higher mammals to automatically seg ment all aspects of the world into distinct holistic objects and the massive reorganiza tion of large portions of our brains that ensues when we encounter completely new environments and life situations). At this epoch, neuroscience is like a huge collection of small, jagged, jigsaw puz zle pieces piled in a mound in a large warehouse (with neuroscientists going in and tossing more pieces onto the mound every month).

Book The Simulated Multiverse

Download or read book The Simulated Multiverse written by Rizwan Virk and published by Bayview Books, LLC. This book was released on 2021-10-15 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do multiple versions of ourselves exist in parallel universes living out their lives in different timelines? In this follow up to his bestseller, The Simulation Hypothesis, MIT Computer Scientist and Silicon Valley Game Pioneer Rizwan Virk explores these topics from a new lens: that of simulation theory. If we are living in a digital universe, then many of the complexities and baffling characteristics of our reality start to make more sense. Quantum computing lets us simulate complex phenomena in parallel, allowing the simulation to explore many realities at once to find the most "optimum" path forward. Could this explain not only the enigmatic Mandela Effect but provide us with a new understanding of time and space? Bringing his unique trademark style of combining video games, computer science, quantum physics and computing with lots of philosophy and science fiction, Virk gives us a new way to think about not just our universe, but all possible realities!

Book The Neural Simulation Language

Download or read book The Neural Simulation Language written by Alfredo Weitzenfeld and published by MIT Press. This book was released on 2002 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book The Computer and the Mind

Download or read book The Computer and the Mind written by Philip Nicholas Johnson-Laird and published by . This book was released on 1988 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing Methodologies -- Artificial Intelligence.

Book Cognitive Science

    Book Details:
  • Author : Bruno G. Bara
  • Publisher : Routledge
  • Release : 2016-07-07
  • ISBN : 1317277562
  • Pages : 381 pages

Download or read book Cognitive Science written by Bruno G. Bara and published by Routledge. This book was released on 2016-07-07 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1995, this book is about the conduct of cognitive science rather than what cognitive science is. It has three main objectives. First, it describes the birth of cognitive science. Second, it outlines the method of enquiry which characterises and defines cognitive science. This method uses the techniques of artificial intelligence based on the assumption that mental activity can, in principle, be reproduced by a computer program. Third, the book describes the state of the art in relevant areas, with particular attention to application fields such as pedagogics, human–machine interaction, and psychotherapy. The developmental approach is emphasised and highlights the fact that developmental aspects are essential in order to comprehend the steady mode of functioning achieved once a person has reached total maturity. Cognitive science is not presented as a definitive method for the analysis of the mind, though the author’s conclusion is that it is the best of all possible methods today. At the time of publication this book would have been useful as an advanced textbook for students on courses specialising in cognitive science, and as a source of further information for those working in related areas such as cognitive psychology, linguistics, and computer science. It will still be of interest to experts and students in the field of cognitive science.

Book From Computer to Brain

    Book Details:
  • Author : William W. Lytton
  • Publisher : Springer Science & Business Media
  • Release : 2002-10-01
  • ISBN : 9780387955261
  • Pages : 392 pages

Download or read book From Computer to Brain written by William W. Lytton and published by Springer Science & Business Media. This book was released on 2002-10-01 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.