From Computer to Brain

Author: William W. Lytton
Publisher: Springer Science & Business Media
ISBN: 0387227334
Format: PDF, Kindle
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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.

Fundamentals of Computational Neuroscience

Author: Thomas Trappenberg
Publisher: Oxford University Press
ISBN: 0199568413
Format: PDF, Docs
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The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental networkarchitectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can begained with such studies.

Grundlagen zur Neuroinformatik und Neurobiologie

Author: Patricia S. Churchland
Publisher: Springer-Verlag
ISBN: 3322868214
Format: PDF, Docs
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The Computational Brain, das außergewöhnliche Buch über vergleichende Forschung in den Bereichen von menschlichem Gehirn und neuesten Möglichkeiten der Computertechnologie, liegt hiermit erstmals in deutscher Sprache vor. Geschrieben von einem führenden Forscherteam in den USA, ist es eine Fundgrube für alle, die wissen wollen, was der Stand der Wissenschaft auf diesem Gebiet ist. Die Autoren führen die Bereiche der Neuroinformatik und Neurobiologie mit gut ausgesuchten Beispielen und der gebotenen Hintergrundinformation gekonnt zusammen. Das Buch wird somit nicht nur dem Fachwissenschaftler sondern auch dem interdisziplinären Interesse des Informatikers und des Biologen auf eine hervorragende Weise gerecht. Übersetzt wurde das Buch von Prof. Dr. Steffen Hölldobler und Dipl.-Biol. Claudia Hölldobler, einem Informatiker und einer Biologin. Rezension in Spektrum der Wissenschaft nr. 10, S. 122 f. im Oktober 1997 (...) Die 1992 erschienene amerikanische Originalausgabe des vorliegenden Werkes ist so erfolgreich, daß man bereits von einem Klassiker reden kann. (...) (...) ....ist das Buch sehr zu empfehlen. In Verbindung von Neurobiologie und Neuroinformatik konkurrenzlos, vermittelt es einiges von der Faszination theoretischer Hirnforschung, die auch in Deutschland zunehmend mehr Wissenschaftler in ihren Bann schlägt. Rezension erschienen in: Computer Spektrum 3/1997, S. 2 (...)Das Buch wird somit nicht nur dem Fachwissenschaftler, sondern auch den interdisziplinären Interesse des Informatikers und des Biologen auf eine hervorragende Weise gerecht(...)

An Introduction to Neural Information Processing

Author: Peiji Liang
Publisher: Springer
ISBN: 9401773939
Format: PDF, ePub, Docs
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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.

Die Illusion der Gewissheit

Author: Siri Hustvedt
Publisher: Rowohlt Verlag GmbH
ISBN: 3644001782
Format: PDF, ePub, Mobi
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Wie denkt der Körper? Was ist der Verstand? Wie unterscheidet er sich vom Körper? Kann der Verstand auf Neuronen im Gehirn reduziert werden oder nicht? In ihrem Essay nimmt sich Siri Hustvedt das uralte, noch immer nicht gelöste Geist-Körper-Problem vor und macht deutlich, wie sehr die unterschiedlichen Antworten auf diese Frage tiefgreifende Bedeutung für unser Verständnis von uns selbst haben. Mit ihrem multidisziplinären Zugang zeigt Hustvedt, wie sehr ungerechtfertigte Annahmen über Körper und Geist das Denken der Neurowissenschaftler, Genetiker, Psychiater, Evolutionspsychologen und der Forscher zur Künstlichen Intelligenz verzerrt und verwirrt hat. In diesem gelehrsamen Essay führt Hustvedt den Leser in verschiedene körperintegrierende Theorien von Bewusstsein ein, die die aktuelle Debatte über Verstand und Körper verändern. Gleichzeitig betont sie, dass keine Idee unantastbar ist. «Zweifel», schreibt sie, «ist nicht nur ein Ausdruck von Intelligenz; es ist eine Notwendigkeit.»

Computational Neuroscience

Author: Eric L. Schwartz
Publisher: MIT Press
ISBN: 9780262691642
Format: PDF, ePub, Mobi
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The thirty original contributions in this book provide a working definition of"computational neuroscience" as the area in which problems lie simultaneously within computerscience and neuroscience. They review this emerging field in historical and philosophical overviewsand in stimulating summaries of recent results. Leading researchers address the structure of thebrain and the computational problems associated with describing and understanding this structure atthe synaptic, neural, map, and system levels.The overview chapters discuss the early days of thefield, provide a philosophical analysis of the problems associated with confusion between brainmetaphor and brain theory, and take up the scope and structure of computationalneuroscience.Synaptic-level structure is addressed in chapters that relate the properties ofdendritic branches, spines, and synapses to the biophysics of computation and provide a connectionbetween real neuron architectures and neural network simulations.The network-level chapters take upthe preattentive perception of 3-D forms, oscillation in neural networks, the neurobiologicalsignificance of new learning models, and the analysis of neural assemblies and local learningrides.Map-level structure is explored in chapters on the bat echolocation system, cat orientationmaps, primate stereo vision cortical cognitive maps, dynamic remapping in primate visual cortex, andcomputer-aided reconstruction of topographic and columnar maps in primates.The system-level chaptersfocus on the oculomotor system VLSI models of early vision, schemas for high-level vision,goal-directed movements, modular learning, effects of applied electric current fields on corticalneural activity neuropsychological studies of brain and mind, and an information-theoretic view ofanalog representation in striate cortex.Eric L. Schwartz is Professor of Brain Research and ResearchProfessor of Computer Science, Courant Institute of Mathematical Sciences, New York UniversityMedical Center. Computational Neuroscience is included in the System Development FoundationBenchmark Series.

Behavioral Aspects of Epilepsy

Author: Gregory L. Holmes, MD
Publisher: Demos Medical Publishing
ISBN: 9781934559888
Format: PDF, Docs
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The field of epilepsy and behavior has grown considerably in the past number of years, reflecting advances in the laboratory and clinic. Behavioral Aspects of Epilepsy: Principles and Practice is the definitive text on epilepsy behavioral issues, from basic science to clinical applications, for all neurologists, psychosocial specialists, and researchers in the fields of epilepsy, neuroscience, and psychology/psychiatry. Behavioral aspects of epilepsy include a patient's experiences during seizures, his or her reaction during and between seizures, the frequency of episodes and what can be determined from the number of seizures. With contributions by dozens of leading international experts, this is the only book to cover all aspects of this critical emerging science. Adult and pediatric patients, animal models, and epilepsy surgery and its effects are all covered in detail. Behavioral Aspects of Epilepsy is the only source for up-to-date information on a topic that has significant and growing interest in the medical community. This comprehensive, authoritative text has a bench to bedside, approach that covers: The mechanisms underlying epilepsy and behavior Neurophysiologic function Neuropsychiatric and behavioral disorders in patients with epilepsy The effects of treatments and surgery on behavior Pediatric and adolescent epilepsy Disorders associated with epilepsy that impact behavior And much more

The Computational Brain

Author: Patricia S. Churchland
Publisher: MIT Press
ISBN: 0262533391
Format: PDF, Docs
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An anniversary edition of the classic work that influenced a generation of neuroscientists and cognitive neuroscientists.

Computational Neuroscience of Vision

Author: Edmund Rolls
Publisher: OUP Oxford
ISBN: 9780198524885
Format: PDF, ePub, Docs
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This exciting new book presents a highly complex subject of vision, focussing on the visual information processing and computational operations in the visual system that lead to representations of objects in the brain. In addition to visual processing, it also considers how visual imputs reach and are involved in the computations underlying a wide range of behaviour, thus providing a foundation for understanding the operation of a number of different brain systems. This fascinating book will be of value to all those interested in understanding how the brain works, and in understanding vision, attention, memory, emotion, motivation and action.