Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Methods For Building Network Models Of Neural Circuits full books in PDF, epub, and Kindle. Read online Methods For Building Network Models Of Neural Circuits ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Martin T. Hagan
Publisher :
ISBN 13 : 9789812403766
Total Pages : pages
Book Rating : 4.4/5 (37 download)
Download or read book Neural Network Design written by Martin T. Hagan and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Carl Faingold
Publisher : Academic Press
ISBN 13 : 0124158641
Total Pages : 537 pages
Book Rating : 4.1/5 (241 download)
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
Author : David Sterratt
Publisher : Cambridge University Press
ISBN 13 : 1108483143
Total Pages : 553 pages
Book Rating : 4.1/5 (84 download)
Download or read book Principles of Computational Modelling in Neuroscience written by David Sterratt and published by Cambridge University Press. This book was released on 2023-10-05 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to use computational modelling techniques to understand the nervous system at all levels, from ion channels to networks.
Author : M. Abeles
Publisher : Cambridge University Press
ISBN 13 : 9780521376174
Total Pages : 298 pages
Book Rating : 4.3/5 (761 download)
Download or read book Corticonics written by M. Abeles and published by Cambridge University Press. This book was released on 1991-02-22 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding how the brain works is probably the greatest scientific and intellectual challenge of our generation. The cerebral cortex is the instrument by which we carry the most complex mental functions. Fortunately, there exists an immense body of knowledge concerning both cortical structure and the properties of single neurons in the cortex. With the advent of the supercomputer, there has been increased interest in neural network modeling. What is needed is a new approach to an understanding of the mammalian cerebral cortex that will provide a link between the physiological description and the computer model. This book meets that need by combining anatomy, physiology, and modeling to achieve a quantitative description of cortical function. The material is presented didactically, starting with descriptive anatomy and comprehensively examining all aspects of modeling. The book gradually leads the reader from the macroscopic cortical anatomy and standard electrophysiological properties of single neurons to neural network models and synfire chains. The most modern trends in neural network modeling are explored.
Author : James M. Bower
Publisher : Springer Verlag
ISBN 13 :
Total Pages : 440 pages
Book Rating : 4.3/5 (91 download)
Download or read book The Book of GENESIS written by James M. Bower and published by Springer Verlag. This book was released on 1995 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title introduces and guides the reader through Genesis, a simulation and modeling software tool that is delivered on-line via the Internet from a California Institute of Technology file server. It contains a contribution of models and simulations, plus step-by-step tutorials. 50 illustrations. Approx.
Author : Thomas Nowotny
Publisher : Frontiers Media SA
ISBN 13 : 2889745015
Total Pages : 253 pages
Book Rating : 4.8/5 (897 download)
Download or read book Advances in Computational Neuroscience written by Thomas Nowotny and published by Frontiers Media SA. This book was released on 2022-02-23 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Marcel van Gerven
Publisher : Frontiers Media SA
ISBN 13 : 2889454010
Total Pages : 220 pages
Book Rating : 4.8/5 (894 download)
Download or read book Artificial Neural Networks as Models of Neural Information Processing written by Marcel van Gerven and published by Frontiers Media SA. This book was released on 2018-02-01 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.
Author : Sergey N. Makarov
Publisher : Springer Nature
ISBN 13 : 3030456234
Total Pages : 395 pages
Book Rating : 4.0/5 (34 download)
Download or read book Brain and Human Body Modeling 2020 written by Sergey N. Makarov and published by Springer Nature. This book was released on 2021 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 41st Annual International Conference of the IEEE EMBS, took place between July 23 and 27, 2019, in Berlin, Germany. The focus was on "Biomedical engineering ranging from wellness to intensive care." This conference provided an opportunity for researchers from academia and industry to discuss a variety of topics relevant to EMBS and hosted the 4th Annual Invited Session on Computational Human Models. At this session, a bevy of research related to the development of human phantoms was presented, together with a substantial variety of practical applications explored through simulation.
Author : Randolph W. Parks
Publisher : MIT Press
ISBN 13 : 9780262161756
Total Pages : 450 pages
Book Rating : 4.1/5 (617 download)
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
Author : Henry Kennedy
Publisher : Springer
ISBN 13 : 3319277774
Total Pages : 173 pages
Book Rating : 4.3/5 (192 download)
Download or read book Micro-, Meso- and Macro-Connectomics of the Brain written by Henry Kennedy and published by Springer. This book was released on 2016-03-10 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has brought together leading investigators who work in the new arena of brain connectomics. This includes ‘macro-connectome’ efforts to comprehensively chart long-distance pathways and functional networks; ‘micro-connectome’ efforts to identify every neuron, axon, dendrite, synapse, and glial process within restricted brain regions; and ‘meso-connectome’ efforts to systematically map both local and long-distance connections using anatomical tracers. This book highlights cutting-edge methods that can accelerate progress in elucidating static ‘hard-wired’ circuits of the brain as well as dynamic interactions that are vital for brain function. The power of connectomic approaches in characterizing abnormal circuits in the many brain disorders that afflict humankind is considered. Experts in computational neuroscience and network theory provide perspectives needed for synthesizing across different scales in space and time. Altogether, this book provides an integrated view of the challenges and opportunities in deciphering brain circuits in health and disease.
Author : Márta Fehér
Publisher : Springer Science & Business Media
ISBN 13 : 9401592934
Total Pages : 385 pages
Book Rating : 4.4/5 (15 download)
Download or read book Hermeneutics and Science written by Márta Fehér and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hermeneutics was elaborated as a specific art of understanding in humanities. The discovered paradigmatic, historical characteristics of scientific knowledge, and the role of rhetoric, interpretation and contextuality enabled us to use similar arguments in natural sciences too. In this way a new research field, the hermeneutics of science emerged based upon the works of Husserl, Merleau-Ponty, Heidegger and Gadamer. A dialogue between philosophers and scientists begins in this volume on hermeneutic approaches to physics, biology, ethology, mathematics and cognitive science. Scientific principles, methodologies, discourse, language, and metaphors are analyzed, as well as the role of the lay public and the legitimation of science. Different hermeneutical-phenomenological approaches to perception, experiments, methods, discovery and justification and the genesis of science are presented. Hermeneutics shed a new light on the incommensurability of paradigms, the possibility of translation and the historical understanding of science.
Author : Eddie Harmon-Jones
Publisher : Guilford Press
ISBN 13 : 1462506275
Total Pages : 371 pages
Book Rating : 4.4/5 (625 download)
Download or read book Methods in Social Neuroscience written by Eddie Harmon-Jones and published by Guilford Press. This book was released on 2012-05-09 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Straightforward and practical, this is the first book to provide detailed guidance for using neurobiological methods in the study of human social behavior, personality, and affect. Each chapter clearly introduces the method at hand, provides examples of the method's applications, discusses its strengths and limitations, and reviews concrete experimental design considerations. Written by acknowledged experts, chapters cover neuroimaging techniques, genetic measurement, hormonal methods, lesion studies, startle eyeblink responses, facial electromyography, autonomic nervous system responses, and modeling based on neural networks.
Author : Yoshiyasu Takefuji
Publisher : Springer Science & Business Media
ISBN 13 : 1461535824
Total Pages : 132 pages
Book Rating : 4.4/5 (615 download)
Download or read book Analog VLSI Neural Networks written by Yoshiyasu Takefuji and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together in one place important contributions and state-of-the-art research in the rapidly advancing area of analog VLSI neural networks. The book serves as an excellent reference, providing insights into some of the most important issues in analog VLSI neural networks research efforts.
Author : Kamal Malik
Publisher : CRC Press
ISBN 13 : 1000994147
Total Pages : 243 pages
Book Rating : 4.0/5 (9 download)
Download or read book Computational Techniques in Neuroscience written by Kamal Malik and published by CRC Press. This book was released on 2023-11-14 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text discusses the techniques of deep learning and machine learning in the field of neuroscience, engineering approaches to study the brain structure and dynamics, convolutional networks for fast, energy-efficient neuromorphic computing, and reinforcement learning in feedback control. It showcases case studies in neural data analysis. Features: Focuses on neuron modeling, development, and direction of neural circuits to explain perception, behavior, and biologically inspired intelligent agents for decision making Showcases important aspects such as human behavior prediction using smart technologies and understanding the modeling of nervous systems Discusses nature-inspired algorithms such as swarm intelligence, ant colony optimization, and multi-agent systems Presents information-theoretic, control-theoretic, and decision-theoretic approaches in neuroscience. Includes case studies in functional magnetic resonance imaging (fMRI) and neural data analysis This reference text addresses different applications of computational neuro-sciences using artificial intelligence, deep learning, and other machine learning techniques to fine-tune the models, thereby solving the real-life problems prominently. It will further discuss important topics such as neural rehabili-tation, brain-computer interfacing, neural control, neural system analysis, and neurobiologically inspired self-monitoring systems. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, information technology, and biomedical engineering.
Author : Michael A. Arbib
Publisher : MIT Press
ISBN 13 : 0262011972
Total Pages : 1328 pages
Book Rating : 4.2/5 (62 download)
Download or read book The Handbook of Brain Theory and Neural Networks written by Michael A. Arbib and published by MIT Press. This book was released on 2003 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).
Author : Edward S. Ruthazer
Publisher : Frontiers Media SA
ISBN 13 : 2889716430
Total Pages : 192 pages
Book Rating : 4.8/5 (897 download)
Download or read book Frontiers in Neural Circuits - Editors’ Pick 2021 written by Edward S. Ruthazer and published by Frontiers Media SA. This book was released on 2021-11-16 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Vivienne Sze
Publisher : Springer Nature
ISBN 13 : 3031017668
Total Pages : 254 pages
Book Rating : 4.0/5 (31 download)
Download or read book Efficient Processing of Deep Neural Networks written by Vivienne Sze and published by Springer Nature. This book was released on 2022-05-31 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.
