Modeling Brain Function - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Brain Function write by D. J. Amit. This book was released on 1989. Modeling Brain Function available in PDF, EPUB and Kindle. 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.
Modeling Brain Function
Modeling Brain Function - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Brain Function write by Daniel J. Amit. This book was released on 1989. Modeling Brain Function available in PDF, EPUB and Kindle.
Modeling Brain Function
Modeling Brain Function - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Brain Function write by Daniel J. Amit. This book was released on 1992. Modeling Brain Function available in PDF, EPUB and Kindle.
Probabilistic Models of the Brain
Probabilistic Models of the Brain - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probabilistic Models of the Brain write by Rajesh P.N. Rao. This book was released on 2002-03-29. Probabilistic Models of the Brain available in PDF, EPUB and Kindle. A survey of probabilistic approaches to modeling and understanding brain function. Neurophysiological, neuroanatomical, and brain imaging studies have helped to shed light on how the brain transforms raw sensory information into a form that is useful for goal-directed behavior. A fundamental question that is seldom addressed by these studies, however, is why the brain uses the types of representations it does and what evolutionary advantage, if any, these representations confer. It is difficult to address such questions directly via animal experiments. A promising alternative is to use probabilistic principles such as maximum likelihood and Bayesian inference to derive models of brain function. This book surveys some of the current probabilistic approaches to modeling and understanding brain function. Although most of the examples focus on vision, many of the models and techniques are applicable to other modalities as well. The book presents top-down computational models as well as bottom-up neurally motivated models of brain function. The topics covered include Bayesian and information-theoretic models of perception, probabilistic theories of neural coding and spike timing, computational models of lateral and cortico-cortical feedback connections, and the development of receptive field properties from natural signals.
Connectionist Modeling and Brain Function
Connectionist Modeling and Brain Function - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Connectionist Modeling and Brain Function write by Stephen José Hanson. This book was released on 1990. Connectionist Modeling and Brain Function available in PDF, EPUB and Kindle. Bringing together contributions in biology, neuroscience, computer science, physics, and psychology, this book offers a solid tutorial on current research activity in connectionist-inspired biology-based modeling. It describes specific experimental approaches and also confronts general issues related to learning associative memory, and sensorimotor development. Introductory chapters by editors Hanson and Olson, along with Terrence Sejnowski, Christof Koch, and Patricia S. Churchland, provide an overview of computational neuroscience, establish the distinction between "realistic" brain models and "simplified" brain models, provide specific examples of each, and explain why each approach might be appropriate in a given context. The remaining chapters are organized so that material on the anatomy and physiology of a specific part of the brain precedes the presentation of modeling studies. The modeling itself ranges from simplified models to more realistic models and provides examples of constraints arising from known brain detail as well as choices modelers face when including or excluding such constraints. There are three sections, each focused on a key area where biology and models have converged. Stephen Jose Hanson is Member of Technical Staff, Bellcore, and Visiting Faculty, Cognitive Science Laboratory, Princeton University. Carl R. Olson is Assistant Professor, Department of Psychology at Princeton Connectionist Modeling and Brain Functionis included in the Network Modeling and Connectionism series, edited by Jeffrey Elman.
