Theoretical Neuroscience

Author : Peter Dayan
ISBN : 0262541858
Genre : Medical
File Size : 62.71 MB
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The construction and analysis of mathematical and computational models of neural systems.
Category: Medical

Peter Dayan

Author : Maria Quincy Ferdinand
ISBN : 6139230756
Genre : Social Science
File Size : 73.40 MB
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Peter Dayan is the director of the Gatsby Computational Neuroscience Unit at the University College London. He is the a co-author of 'Theoretical Neuroscience', a leading textbook of computational and mathematical modeling of neural systems (see computational neuroscience). He is known for applying Bayesian methods from machine learning and Artificial Intelligence as theories of neural function, especially relating neurotransmitter levels to Bayesian uncertainties. He began his career studying Mathematics at Cambridge followed by a PhD in Artificial Intelligence at Edinburgh, which focused on reinforcement learning. He then went on to do a Postdoc at the Massachusetts Institute of Technology in Boston.
Category: Social Science

Computational Neuroscience

Author : Erik De Schutter
ISBN : 0444516492
Genre : Science
File Size : 83.95 MB
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The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.
Category: Science

Neuromathematics Of Vision

Author : Giovanna Citti
ISBN : 9783642344442
Genre : Mathematics
File Size : 22.77 MB
Format : PDF
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This book is devoted to the study of the functional architecture of the visual cortex. Its geometrical structure is the differential geometry of the connectivity between neural cells. This connectivity is building and shaping the hidden brain structures underlying visual perception. The story of the problem runs over the last 30 years, since the discovery of Hubel and Wiesel of the modular structure of the primary visual cortex, and slowly cams towards a theoretical understanding of the experimental data on what we now know as functional architecture of the primary visual cortex. Experimental data comes from several domains: neurophysiology, phenomenology of perception and neurocognitive imaging. Imaging techniques like functional MRI and diffusion tensor MRI allow to deepen the study of cortical structures. Due to this variety of experimental data, neuromathematematics deals with modelling both cortical structures and perceptual spaces. From the mathematical point of view, neuromathematical call for new instruments of pure mathematics: sub-Riemannian geometry models horizontal connectivity, harmonic analysis in non commutative groups allows to understand pinwheels structure, as well as non-linear dimensionality reduction is at the base of many neural morphologies and possibly of the emergence of perceptual units. But at the center of the neurogeometry is the problem of harmonizing contemporary mathematical instruments with neurophysiological findings and phenomenological experiments in an unitary science of vision. The contributions to this book come from the very founders of the discipline.
Category: Mathematics

Computational Neuroscience

Author : Wanpracha Chaovalitwongse
ISBN : 0387886303
Genre : Medical
File Size : 35.77 MB
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This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience.
Category: Medical

From Neuron To Cognition Via Computational Neuroscience

Author : Michael A. Arbib
ISBN : 9780262034968
Genre : Computers
File Size : 72.64 MB
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A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition.
Category: Computers

Computational Neuroscience For Advancing Artificial Intelligence Models Methods And Applications

Author : Alonso, Eduardo
ISBN : 9781609600235
Genre : Computers
File Size : 70.95 MB
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"This book argues that computational models in behavioral neuroscience must be taken with caution, and advocates for the study of mathematical models of existing theories as complementary to neuro-psychological models and computational models"--
Category: Computers

Menschheit 2 0

Author : Ray Kurzweil
ISBN : 9783944203133
Genre : Technology & Engineering
File Size : 72.79 MB
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Das Jahr 2045 markiert einen historischen Meilenstein: Es ist das Jahr, in dem der Mensch seine biologischen Begrenzungen mithilfe der Technik überwinden wird. Diese als technologische Singularität bekannt gewordene Revolution wird die Menschheit für immer verändern. Googles Chefingenieur Ray Kurzweil, dessen wahnwitzigen Visionen in den vergangenen Jahrzehnten immer wieder genau ins Schwarze trafen, zeichnet in diesem Klassiker des Transhumanismus mit beispielloser Detailwut eine bunt schillernde Momentaufnahme der technischen Evolution und legt dar, weshalb diese so bald kein Ende finden, sondern im Gegenteil immer weiter an Dynamik gewinnen wird. Daraus ergibt sich eine ebenso faszinierende wie schockierende Vision für die Zukunft der Menschheit.
Category: Technology & Engineering

Computational Neuroscience

Author : Jianfeng Feng
ISBN : 9780203494462
Genre : Science
File Size : 36.84 MB
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How does the brain work? After a century of research, we still lack a coherent view of how neurons process signals and control our activities. But as the field of computational neuroscience continues to evolve, we find that it provides a theoretical foundation and a set of technological approaches that can significantly enhance our understanding. Computational Neuroscience: A Comprehensive Approach provides a unified treatment of the mathematical theory of the nervous system and presents concrete examples demonstrating how computational techniques can illuminate difficult neuroscience problems. In chapters contributed by top researchers, the book introduces the basic mathematical concepts, then examines modeling at all levels, from single-channel and single neuron modeling to neuronal networks and system-level modeling. The emphasis is on models with close ties to experimental observations and data, and the authors review application of the models to systems such as olfactory bulbs, fly vision, and sensorymotor systems. Understanding the nature and limits of the strategies neural systems employ to process and transmit sensory information stands among the most exciting and difficult challenges faced by modern science. This book clearly shows how computational neuroscience has and will continue to help meet that challenge.
Category: Science

Mathematical Foundations Of Neuroscience

Author : G. Bard Ermentrout
ISBN : 9780387877082
Genre : Mathematics
File Size : 62.53 MB
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This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important problems in neuroscience, and neuroscientists who would like to understand how to create models, as well as the mathematical and computational methods for analyzing them. The authors take a very broad approach and use many different methods to solve and understand complex models of neurons and circuits. They explain and combine numerical, analytical, dynamical systems and perturbation methods to produce a modern approach to the types of model equations that arise in neuroscience. There are extensive chapters on the role of noise, multiple time scales and spatial interactions in generating complex activity patterns found in experiments. The early chapters require little more than basic calculus and some elementary differential equations and can form the core of a computational neuroscience course. Later chapters can be used as a basis for a graduate class and as a source for current research in mathematical neuroscience. The book contains a large number of illustrations, chapter summaries and hundreds of exercises which are motivated by issues that arise in biology, and involve both computation and analysis. Bard Ermentrout is Professor of Computational Biology and Professor of Mathematics at the University of Pittsburgh. David Terman is Professor of Mathematics at the Ohio State University.
Category: Mathematics