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Neural Modeling Of Brain And Cognitive Disorders
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Book Synopsis Neural Modeling of Brain and Cognitive Disorders by : James A. Reggia
Download or read book Neural Modeling of Brain and Cognitive Disorders written by James A. Reggia and published by World Scientific. This book was released on 1996 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last few years there has been a rapidly increasing interest in neural modeling of brain and cognitive disorders. This multidisciplinary book presents a variety of such models in neurology, neuropsychology and psychiatry. A review of work in this area is given first. Computational models are then presented of memory impairment in Alzheimer's disease, functional brain reorganization following a stroke, patterns of neural activity in epilepsy, disruption of language processes in aphasia and acquired dyslexia, altered cognitive processes in schizophrenia and depression, and related disorders. This is the first book on this topic, with contributions from many of the leading researchers in this field.
Book Synopsis Fundamentals of Neural Network Modeling by : Randolph W. Parks
Download or read book Fundamentals of Neural Network Modeling written by Randolph W. Parks and published by MIT Press. This book was released on 1998 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. Over the past few years, computer modeling has become more prevalent in the clinical sciences as an alternative to traditional symbol-processing models. This book provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. It is intended to make the neural network approach accessible to practicing neuropsychologists, psychologists, neurologists, and psychiatrists. It will also be a useful resource for computer scientists, mathematicians, and interdisciplinary cognitive neuroscientists. The editors (in their introduction) and contributors explain the basic concepts behind modeling and avoid the use of high-level mathematics. The book is divided into four parts. Part I provides an extensive but basic overview of neural network modeling, including its history, present, and future trends. It also includes chapters on attention, memory, and primate studies. Part II discusses neural network models of behavioral states such as alcohol dependence, learned helplessness, depression, and waking and sleeping. Part III presents neural network models of neuropsychological tests such as the Wisconsin Card Sorting Task, the Tower of Hanoi, and the Stroop Test. Finally, part IV describes the application of neural network models to dementia: models of acetycholine and memory, verbal fluency, Parkinsons disease, and Alzheimer's disease. Contributors J. Wesson Ashford, Rajendra D. Badgaiyan, Jean P. Banquet, Yves Burnod, Nelson Butters, John Cardoso, Agnes S. Chan, Jean-Pierre Changeux, Kerry L. Coburn, Jonathan D. Cohen, Laurent Cohen, Jose L. Contreras-Vidal, Antonio R. Damasio, Hanna Damasio, Stanislas Dehaene, Martha J. Farah, Joaquin M. Fuster, Philippe Gaussier, Angelika Gissler, Dylan G. Harwood, Michael E. Hasselmo, J, Allan Hobson, Sam Leven, Daniel S. Levine, Debra L. Long, Roderick K. Mahurin, Raymond L. Ownby, Randolph W. Parks, Michael I. Posner, David P. Salmon, David Servan-Schreiber, Chantal E. Stern, Jeffrey P. Sutton, Lynette J. Tippett, Daniel Tranel, Bradley Wyble
Book Synopsis Multiscale Models of Brain Disorders by : Vassilis Cutsuridis
Download or read book Multiscale Models of Brain Disorders written by Vassilis Cutsuridis and published by Springer Nature. This book was released on 2019-10-11 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on our current understanding of brain dynamics in various brain disorders (e.g. epilepsy, Alzheimer’s and Parkinson’s disease) and how the multi-scale, multi-level tools of computational neuroscience can enhance this understanding. In recent years, there have been significant advances in the study of the dynamics of the disordered brain at both the microscopic and the macroscopic levels. This understanding can be furthered by the application of multi-scale computational models as integrative principles that may link single neuron dynamics and the dynamics of local and distant brain regions observed using human EEG, ERPs, MEG, LFPs and fMRI. Focusing on the computational models that are used to study movement, memory and cognitive disorders as well as epilepsy and consciousness related diseases, the book brings together physiologists and anatomists investigating cortical circuits; cognitive neuroscientists studying brain dynamics and behavior by means of EEG and functional magnetic resonance imaging (fMRI); and computational neuroscientists using neural modeling techniques to explore local and large-scale disordered brain dynamics. Covering topics that have a significant impact on the field of medicine, neuroscience and computer science, the book appeals to a diverse group of investigators.
Book Synopsis Disorders of Brain, Behavior, and Cognition: The Neurocomputational Perspective by : J.A. Reggia
Download or read book Disorders of Brain, Behavior, and Cognition: The Neurocomputational Perspective written by J.A. Reggia and published by Elsevier. This book was released on 1999-09-16 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected contributions of papers, many presented at the Second International Workshop on Neural Modeling of Brain Disorders, as well as a few additional papers on related topics, including a wide range of presentations describing computational models of neurological, neuropsychological and psychiatric disorders. It is a unique, comprehensive review of the state-of-the-art of modeling cognitive and brain disorders, appealing to a multidisciplinary audience of clinicians, psychologists, neuroscientists, cognitive scientists, computer scientists, and other neural network researchers. The rest of the book is organized along four main themes, involving memory, neuropsychological, neurological and psychiatric disorders. In general, the cognitive disorders and these psychiatric diseases traditionally regarded as "functional" were modeled along functional lines, while those disorders traditionally viewed as "organic" neurological diseases generally drew more from knowledge of the underlying neurobiology and pathophysiology.
Book Synopsis Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics by : Carl Faingold
Download or read book Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics written by Carl Faingold and published by Academic Press. This book was released on 2013-12-26 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics, edited by two leaders in the field, offers a current and complete review of what we know about neural networks. How the brain accomplishes many of its more complex tasks can only be understood via study of neuronal network control and network interactions. Large networks can undergo major functional changes, resulting in substantially different brain function and affecting everything from learning to the potential for epilepsy. With chapters authored by experts in each topic, this book advances the understanding of: How the brain carries out important tasks via networks How these networks interact in normal brain function Major mechanisms that control network function The interaction of the normal networks to produce more complex behaviors How brain disorders can result from abnormal interactions How therapy of disorders can be advanced through this network approach This book will benefit neuroscience researchers and graduate students with an interest in networks, as well as clinicians in neuroscience, pharmacology, and psychiatry dealing with neurobiological disorders. Utilizes perspectives and tools from various neuroscience subdisciplines (cellular, systems, physiologic), making the volume broadly relevant Chapters explore normal network function and control mechanisms, with an eye to improving therapies for brain disorders Reflects predominant disciplinary shift from an anatomical to a functional perspective of the brain Edited work with chapters authored by leaders in the field around the globe – the broadest, most expert coverage available
Book Synopsis Computational Models of Brain and Behavior by : Ahmed A. Moustafa
Download or read book Computational Models of Brain and Behavior written by Ahmed A. Moustafa and published by John Wiley & Sons. This book was released on 2017-09-11 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.
Book Synopsis The Aging Mind by : National Research Council
Download or read book The Aging Mind written by National Research Council and published by National Academies Press. This book was released on 2000-04-18 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Possible new breakthroughs in understanding the aging mind that can be used to benefit older people are now emerging from research. This volume identifies the key scientific advances and the opportunities they bring. For example, science has learned that among older adults who do not suffer from Alzheimer's disease or other dementias, cognitive decline may depend less on loss of brain cells than on changes in the health of neurons and neural networks. Research on the processes that maintain neural health shows promise of revealing new ways to promote cognitive functioning in older people. Research is also showing how cognitive functioning depends on the conjunction of biology and culture. The ways older people adapt to changes in their nervous systems, and perhaps the changes themselves, are shaped by past life experiences, present living situations, changing motives, cultural expectations, and emerging technology, as well as by their physical health status and sensory-motor capabilities. Improved understanding of how physical and contextual factors interact can help explain why some cognitive functions are impaired in aging while others are spared and why cognitive capability is impaired in some older adults and spared in others. On the basis of these exciting findings, the report makes specific recommends that the U.S. government support three major new initiatives as the next steps for research.
Book Synopsis Animal Models of Cognitive Impairment by : Edward D. Levin
Download or read book Animal Models of Cognitive Impairment written by Edward D. Levin and published by CRC Press. This book was released on 2006-06-22 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: The costs associated with a drug's clinical trials are so significant that it has become necessary to validate both its safety and efficacy in animal models prior to the continued study of the drug in humans. Featuring contributions from distinguished researchers in the field of cognitive therapy research, Animal Models of Cognitive Impairmen
Book Synopsis The Physics of the Mind and Brain Disorders by : Ioan Opris
Download or read book The Physics of the Mind and Brain Disorders written by Ioan Opris and published by Springer. This book was released on 2017-12-01 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent advances in the understanding of brain structure, function and disorders based on the fundamental principles of physics. It covers a broad range of physical phenomena occurring in the brain circuits for perception, cognition, emotion and action, representing the building blocks of the mind. It provides novel insights into the devastating brain disorders of the mind such as schizophrenia, dementia, autism, aging or addictions, as well as into the new devices for brain repair. The book is aimed at basic researchers in the fields of neuroscience, physics, biophysics and clinicians in the fields of neurology, neurosurgery, psychology, psychiatry.
Book Synopsis An Introduction to Model-Based Cognitive Neuroscience by : Birte U. Forstmann
Download or read book An Introduction to Model-Based Cognitive Neuroscience written by Birte U. Forstmann and published by Springer Nature. This book was released on with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Exploring Cognition: Damaged Brains and Neural Networks by : Gillian Cohen
Download or read book Exploring Cognition: Damaged Brains and Neural Networks written by Gillian Cohen and published by Psychology Press. This book was released on 2013-12-19 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: An innovative, topical and engaging reader to accompany advanced undergraduate and postgraduate courses in cognition Presents a unique collection of key articles by leading international researchers in cognition, cognitive neuropsychology and connectionism Brings together in one place articles that challenge or inform traditional theories of cognition Spotlights current areas of debate and controversy in cogntive psychology of interest to students and researchers alike Editors are widely known in their fields and are authors of successful textbooks Introduction and linking sections provide essential context and evaluation
Book Synopsis Neural Networks and Psychopathology by : Dan J. Stein
Download or read book Neural Networks and Psychopathology written by Dan J. Stein and published by Cambridge University Press. This book was released on 1998-12-03 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on connectionist models is one of the most exciting areas in cognitive science, and neural network models of psychopathology have immediate theoretical and empirical appeal. The contributors to this study review theoretical, historical and clinical issues, including the contribution of neural network models to diagnosis, pharmacotherapy and psychotherapy. Models are presented for a range of disorders, including schizophrenia, obsessive-compulsive disorder, dissociative phenomena, autism and Alzheimer's disease. This book will appeal to a broad audience. On the one hand, it will be read with interest by psychiatrists, psychologists and other clinicians and researchers in psychopathology. On the other, it will appeal to those working in cognitive science and artificial intelligence, and particularly those interested in neural network or connectionist models.
Book Synopsis Introduction to Neural and Cognitive Modeling by : Daniel S. Levine
Download or read book Introduction to Neural and Cognitive Modeling written by Daniel S. Levine and published by Routledge. This book was released on 2018-10-26 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a general introduction to the field of neural networks. Thoroughly revised and updated from the previous editions of 1991 and 2000, the current edition concentrates on networks for modeling brain processes involved in cognitive and behavioral functions. Part one explores the philosophy of modeling and the field’s history starting from the mid-1940s, and then discusses past models of associative learning and of short-term memory that provide building blocks for more complex recent models. Part two of the book reviews recent experimental findings in cognitive neuroscience and discusses models of conditioning, categorization, category learning, vision, visual attention, sequence learning, behavioral control, decision making, reasoning, and creativity. The book presents these models both as abstract ideas and through examples and concrete data for specific brain regions. The book includes two appendices to help ground the reader: one reviewing the mathematics used in network modeling, and a second reviewing basic neuroscience at both the neuron and brain region level. The book also includes equations, practice exercises, and thought experiments.
Book Synopsis Introduction to Neural and Cognitive Modeling by : Daniel S. Levine
Download or read book Introduction to Neural and Cognitive Modeling written by Daniel S. Levine and published by Psychology Press. This book was released on 2000-02-01 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thoroughly, thoughtfully revised edition of a very successful textbook makes the principles and the details of neural network modeling accessible to cognitive scientists of all varieties as well as to others interested in these models. Research since the publication of the first edition has been systematically incorporated into a framework of proven pedagogical value. Features of the second edition include: * A new section on spatiotemporal pattern processing * Coverage of ARTMAP networks (the supervised version of adaptive resonance networks) and recurrent back-propagation networks * A vastly expanded section on models of specific brain areas, such as the cerebellum, hippocampus, basal ganglia, and visual and motor cortex * Up-to-date coverage of applications of neural networks in areas such as combinatorial optimization and knowledge representation As in the first edition, the text includes extensive introductions to neuroscience and to differential and difference equations as appendices for students without the requisite background in these areas. As graphically revealed in the flowchart in the front of the book, the text begins with simpler processes and builds up to more complex multilevel functional systems. For more information visit the author's personal Web site at www.uta.edu/psychology/faculty/levine/
Book Synopsis Modeling Brain Function by : D. J. Amit
Download or read book Modeling Brain Function written by D. J. Amit and published by Cambridge University Press. This book was released on 1989 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most exciting and potentially rewarding areas of scientific research is the study of the principles and mechanisms underlying brain function. It is also of great promise to future generations of computers. A growing group of researchers, adapting knowledge and techniques from a wide range of scientific disciplines, have made substantial progress understanding memory, the learning process, and self organization by studying the properties of models of neural networks - idealized systems containing very large numbers of connected neurons, whose interactions give rise to the special qualities of the brain. This book introduces and explains the techniques brought from physics to the study of neural networks and the insights they have stimulated. It is written at a level accessible to the wide range of researchers working on these problems - statistical physicists, biologists, computer scientists, computer technologists and cognitive psychologists. The author presents a coherent and clear nonmechanical presentation of all the basic ideas and results. More technical aspects are restricted, wherever possible, to special sections and appendices in each chapter. The book is suitable as a text for graduate courses in physics, electrical engineering, computer science and biology.
Book Synopsis Neural and Brain Modeling by : Ronald J. MacGregor
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:
Author :D. Alistair Steyn-Ross Publisher :Springer Science & Business Media ISBN 13 :1441907963 Total Pages :325 pages Book Rating :4.4/5 (419 download)
Book Synopsis Modeling Phase Transitions in the Brain by : D. Alistair Steyn-Ross
Download or read book Modeling Phase Transitions in the Brain written by D. Alistair Steyn-Ross and published by Springer Science & Business Media. This book was released on 2010-03-14 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foreword by Walter J. Freeman. The induction of unconsciousness using anesthetic agents demonstrates that the cerebral cortex can operate in two very different behavioral modes: alert and responsive vs. unaware and quiescent. But the states of wakefulness and sleep are not single-neuron properties---they emerge as bulk properties of cooperating populations of neurons, with the switchover between states being similar to the physical change of phase observed when water freezes or ice melts. Some brain-state transitions, such as sleep cycling, anesthetic induction, epileptic seizure, are obvious and detected readily with a few EEG electrodes; others, such as the emergence of gamma rhythms during cognition, or the ultra-slow BOLD rhythms of relaxed free-association, are much more subtle. The unifying theme of this book is the notion that all of these bulk changes in brain behavior can be treated as phase transitions between distinct brain states. Modeling Phase Transitions in the Brain contains chapter contributions from leading researchers who apply state-space methods, network models, and biophysically-motivated continuum approaches to investigate a range of neuroscientifically relevant problems that include analysis of nonstationary EEG time-series; network topologies that limit epileptic spreading; saddle--node bifurcations for anesthesia, sleep-cycling, and the wake--sleep switch; prediction of dynamical and noise-induced spatiotemporal instabilities underlying BOLD, alpha-, and gamma-band Hopf oscillations, gap-junction-moderated Turing structures, and Hopf-Turing interactions leading to cortical waves.
