Computational Neuroscience Models Of The Basal Ganglia
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Computational Neuroscience Models Of The Basal Ganglia
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Author : V. Srinivasa Chakravarthy
language : en
Publisher: Springer
Release Date : 2018-03-21
Computational Neuroscience Models Of The Basal Ganglia written by V. Srinivasa Chakravarthy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-21 with Technology & Engineering categories.
The book is a compendium of the aforementioned subclass of models of Basal Ganglia, which presents some the key existent theories of Basal Ganglia function. The book presents computational models of basal ganglia-related disorders, including Parkinson’s disease, schizophrenia, and addiction. Importantly, it highlights the applications of understanding the role of the basal ganglia to treat neurological and psychiatric disorders. The purpose of the present book is to amend and expand on James Houk’s book (MIT press; ASIN: B010BF4U9K) by providing a comprehensive overview on computational models of the basal ganglia. This book caters to researchers and academics from the area of computational cognitive neuroscience.
Computational Neuroscience
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Author : Corey Michael Thibeault
language : en
Publisher:
Release Date : 2012
Computational Neuroscience written by Corey Michael Thibeault and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Electronic books categories.
Inspiring entire computing paradigms, hardware platforms and theories of nervous system function, the field of computational neuroscience has grown steadily since its emergence in the mid-1980s. The motivation behind it is to mathematically describe the nervous system in terms of how the structures process information. Simulating the brain this way can be done at varying levels of abstraction and biological realism; providing insight into the function of the nervous system or supporting empirical evidence. This dissertation presents a snapshot of the computational neuroscience landscape. It begins with the mathematical theory, moving to implementation, and finally ending with its application. It is by no means a complete picture but provides a basic understanding of how mathematical modeling contributes to neuroscience. This begins by presenting the design considerations behind high-performance neural simulation environments. A concept which is then extended with a novel implementation for the exchange of spiking information in high-performance cluster environments. A framework for creating virtual environments for embodied modeling is then developed and discussed. Finally, a toolkit for efficiently analyzing the large amounts of data generated by these spiking models is presented. Once these tools are established the focus is shifted to models of the basal ganglia. After a brief background, spiking models capable of action-selection through reinforcement learning are described. These borrow from the basal ganglia but are developed for implementation on neuromorphic hardware and are therefore necessarily simplified. The networks are embodied in virtual environments and their performance based on two tasks is explored under varying conditions. Finally, the use of a simple hybrid neuron is explored in several published models of the basal ganglia; demonstrating the first example of a hybrid neuron in biologically faithful models of the basal ganglia.
Models Of Information Processing In The Basal Ganglia
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Author : James C. Houk
language : en
Publisher: MIT Press
Release Date : 1995
Models Of Information Processing In The Basal Ganglia written by James C. Houk and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Basal ganglia categories.
This book brings together the biology and computational features of the basal ganglia and their related cortical areas along with select examples of how this knowledge can be integrated into neural network models. Recent years have seen a remarkable expansion of knowledge about the anatomical organization of the part of the brain known as the basal ganglia, the signal processing that occurs in these structures, and the many relations both to molecular mechanisms and to cognitive functions. This book brings together the biology and computational features of the basal ganglia and their related cortical areas along with select examples of how this knowledge can be integrated into neural network models. Organized in four parts - fundamentals, motor functions and working memories, reward mechanisms, and cognitive and memory operations - the chapters present a unique admixture of theory, cognitive psychology, anatomy, and both cellular- and systems- level physiology written by experts in each of these areas. The editors have provided commentaries as a helpful guide to each part. Many new discoveries about the biology of the basal ganglia are summarized, and their impact on the computational role of the forebrain in the planning and control of complex motor behaviors discussed. The various findings point toward an unexpected role for the basal ganglia in the contextual analysis of the environment and in the adaptive use of this information for the planning and execution of intelligent behaviors. Parallels are explored between these findings and new connectionist approaches to difficult control problems in robotics and engineering. Contributors James L. Adams, P. Apicella, Michael Arbib, Dana H. Ballard, Andrew G. Barto, J. Brian Burns, Christopher I. Connolly, Peter F. Dominey, Richard P. Dum, John Gabrieli, M. Garcia-Munoz, Patricia S. Goldman-Rakic, Ann M. Graybiel, P. M. Groves, Mary M. Hayhoe, J. R. Hollerman, George Houghton, James C. Houk, Stephen Jackson, Minoru Kimura, A. B. Kirillov, Rolf Kotter, J. C. Linder, T. Ljungberg, M. S. Manley, M. E. Martone, J. Mirenowicz, C. D. Myre, Jeff Pelz, Nathalie Picard, R. Romo, S. F. Sawyer, E Scarnat, Wolfram Schultz, Peter L. Strick, Charles J. Wilson, Jeff Wickens, Donald J. Woodward, S. J. Young
Basal Ganglia Physiological Behavioral And Computational Studies
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Author : Ahmed A. Moustafa
language : en
Publisher: Frontiers Media SA
Release Date : 2015-05-26
Basal Ganglia Physiological Behavioral And Computational Studies written by Ahmed A. Moustafa and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-26 with Basal ganglia categories.
The basal ganglia has received much attention over the last two decades, as it has been implicated in many neurological and psychiatric disorders. Most of this research—in both animals and humans—attempt to understand the neural and biochemical substrates of basic motor and learning processes, and how these are affected in human patients as well as animal models of brain disorders. The current volume contains research articles and reviews describing basic, pre-clinical and clinical neuroscience research of the basal ganglia written by attendees of the 11th Triennial Meeting of the International Basal Ganglia Society (IBAGS) that was held March 3-7th, 2013 at the Princess Hotel, Eilat, Israel and by researchers of the basal ganglia. Specifically, articles in this volume include research reports on the biochemistry, computational theory, anatomy and physiology of single neurons and functional circuitry of the basal ganglia networks as well as the latest data on animal models of basal ganglia dysfunction and clinical studies in human patients.
Computational Models For Neuroscience
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Author : Robert Hecht-Nielsen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Computational Models For Neuroscience written by Robert Hecht-Nielsen 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 Medical categories.
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).
Computational Models Of Brain And Behavior
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Author : Ahmed A. Moustafa
language : en
Publisher: John Wiley & Sons
Release Date : 2017-11-13
Computational Models Of Brain And Behavior written by Ahmed A. Moustafa and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-13 with Psychology categories.
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.
Validating Neuro Computational Models Of Neurological And Psychiatric Disorders
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Author : Basabdatta Sen Bhattacharya
language : en
Publisher: Springer
Release Date : 2015-10-30
Validating Neuro Computational Models Of Neurological And Psychiatric Disorders written by Basabdatta Sen Bhattacharya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-30 with Medical categories.
This book is a collection of articles by leading researchers working at the cutting edge of neuro-computational modelling of neurological and psychiatric disorders. Each article contains model validation techniques used in the context of the specific problem being studied. Validation is essential for neuro-inspired computational models to become useful tools in the understanding and treatment of disease conditions. Currently, the immense diversity in neuro-computational modelling approaches for investigating brain diseases has created the need for a structured and coordinated approach to benchmark and standardise validation methods and techniques in this field of research. This book serves as a step towards a systematic approach to validation of neuro-computational models used for studying brain diseases and should be useful for all neuro-computational modellers.
Multiscale Models Of Brain Disorders
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Author : Vassilis Cutsuridis
language : en
Publisher: Springer Nature
Release Date : 2019-10-11
Multiscale Models Of Brain Disorders written by Vassilis Cutsuridis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-11 with Medical categories.
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.
Dynamic Interactions In Neural Networks Models And Data
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Author : Michael A. Arbib
language : en
Publisher: Springer Science & Business Media
Release Date : 1989
Dynamic Interactions In Neural Networks Models And Data written by Michael A. Arbib 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 1989 with Computers categories.
The study of neural networks is enjoying a great renaissance, both in computational neuroscience, the development of information processing models of living brains, and in neural computing, the use of neurally inspired concepts in the construction of "intelligent" machines. Thus the title of this volume has two interpretations: It presents models and data on the dynamic interactions occurring in the brain, and it exhibits the dynamic interactions between research in computational neuroscience and in neural computing, as scientists seek to find common principles to guide the understanding of the living brain and the design of artificial neural networks. This collection of contributions presents the current state of research, future trends and open problems in an exciting field of today's science.
Computational Modelling In Behavioural Neuroscience
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Author : Dietmar Heinke
language : en
Publisher: Psychology Press
Release Date : 2009-04-03
Computational Modelling In Behavioural Neuroscience written by Dietmar Heinke and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-03 with Psychology categories.
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.