Methods In Neuronal Modeling

Author : Christof Koch,Idan Segev
Publisher : MIT Press
Page : 700 pages
File Size : 45,7 Mb
Release : 1998
Category : Nervous system
ISBN : 0262112310

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Methods in Neuronal Modeling by Christof Koch,Idan Segev Pdf

Kinetic Models of Synaptic Transmission / Alain Destexhe, Zachary F. Mainen, Terrence J. Sejnowski / - Cable Theory for Dendritic Neurons / Wilfrid Rall, Hagai Agmon-Snir / - Compartmental Models of Complex Neurons / Idan Segev, Robert E. Burke / - Multiple Channels and Calcium Dynamics / Walter M. Yamada, Christof Koch, Paul R. Adams / - Modeling Active Dendritic Processes in Pyramidal Neurons / Zachary F. Mainen, Terrence J. Sejnowski / - Calcium Dynamics in Large Neuronal Models / Erik De Schutter, Paul Smolen / - Analysis of Neural Excitability and Oscillations / John Rinzel, Bard Ermentrout / - Design and Fabrication of Analog VLSI Neurons / Rodney Douglas, Misha Mahowald / - Principles of Spike Train Analysis / Fabrizio Gabbiani, Christof Koch / - Modeling Small Networks / Larry Abbott, Eve Marder / - Spatial and Temporal Processing in Central Auditory Networks / Shihab Shamma / - Simulating Large Networks of Neurons / Alexander D. Protopapas, Michael Vanier, James M. Bower / ...

Author : Christof Koch,Idan Segev
Publisher : Bradford Book
Page : 524 pages
File Size : 46,7 Mb
Release : 1991
Category : Circuito neural
ISBN : 026261071X

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Methods in Neuronal Modeling by Christof Koch,Idan Segev Pdf

Author : Christof Koch,Idan Segev
Publisher : National Geographic Books
Page : 0 pages
File Size : 53,8 Mb
Release : 2003-01-01
Category : Medical
ISBN : 9780262517133

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Methods in Neuronal Modeling, second edition by Christof Koch,Idan Segev Pdf

Much research focuses on the question of how information is processed in nervous systems, from the level of individual ionic channels to large-scale neuronal networks, and from "simple" animals such as sea slugs and flies to cats and primates. New interdisciplinary methodologies combine a bottom-up experimental methodology with the more top-down-driven computational and modeling approach. This book serves as a handbook of computational methods and techniques for modeling the functional properties of single and groups of nerve cells. The contributors highlight several key trends: (1) the tightening link between analytical/numerical models and the associated experimental data, (2) the broadening of modeling methods, at both the subcellular level and the level of large neuronal networks that incorporate real biophysical properties of neurons as well as the statistical properties of spike trains, and (3) the organization of the data gained by physical emulation of the nervous system components through the use of very large scale circuit integration (VLSI) technology. The field of neuroscience has grown dramatically since the first edition of this book was published nine years ago. Half of the chapters of the second edition are completely new; the remaining ones have all been thoroughly revised. Many chapters provide an opportunity for interactive tutorials and simulation programs. They can be accessed via Christof Koch's Website. Contributors Larry F. Abbott, Paul R. Adams, Hagai Agmon-Snir, James M. Bower, Robert E. Burke, Erik de Schutter, Alain Destexhe, Rodney Douglas, Bard Ermentrout, Fabrizio Gabbiani, David Hansel, Michael Hines, Christof Koch, Misha Mahowald, Zachary F. Mainen, Eve Marder, Michael V. Mascagni, Alexander D. Protopapas, Wilfrid Rall, John Rinzel, Idan Segev, Terrence J. Sejnowski, Shihab Shamma, Arthur S. Sherman, Paul Smolen, Haim Sompolinsky, Michael Vanier, Walter M. Yamada

Author : R.R. Poznanski
Publisher : Routledge
Page : 528 pages
File Size : 50,7 Mb
Release : 2019-01-22
Category : Science
ISBN : 9781351430975

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Modeling in the Neurosciences by R.R. Poznanski Pdf

With contributions from more than 40 renowned experts, Modeling in the Neurosciences: From Ionic Channels to Neural Networks is essential for those interested in neuronal modeling and quantitative neiroscience. Focusing on new mathematical and computer models, techniques and methods, this monograph represents a cohesive and comprehensive treatment

Author : Erik De Schutter
Publisher : CRC Press
Page : 368 pages
File Size : 48,6 Mb
Release : 2000-11-22
Category : Science
ISBN : 0849320682

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Computational Neuroscience by Erik De Schutter Pdf

Designed primarily as an introduction to realistic modeling methods, Computational Neuroscience: Realistic Modeling for Experimentalists focuses on methodological approaches, selecting appropriate methods, and identifying potential pitfalls. The author addresses varying levels of complexity, from molecular interactions within single neurons to the processing of information by neural networks. He avoids theoretical mathematics and provides just enough of the basic math used by experimentalists. What makes this resource unique is the inclusion of a CD-ROM that furnishes interactive modeling examples. It contains tutorials and demos, movies and images, and the simulation scripts necessary to run the full simulation described in the chapter examples. Each chapter covers: the theoretical foundation; parameters needed; appropriate software descriptions; evaluation of the model; future directions expected; examples in text boxes linked to the CD-ROM; and references. The first book to bring you cutting-edge developments in neuronal modeling. It provides an introduction to realistic modeling methods at levels of complexity varying from molecular interactions to neural networks. The book and CD-ROM combine to make Computational Neuroscience: Realistic Modeling for Experimentalists the complete package for understanding modeling techniques.

Author : Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski
Publisher : Cambridge University Press
Page : 591 pages
File Size : 49,5 Mb
Release : 2014-07-24
Category : Computers
ISBN : 9781107060838

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Neuronal Dynamics by Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski Pdf

This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Author : Ronald MacGregor
Publisher : Springer Science & Business Media
Page : 413 pages
File Size : 41,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781468421903

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Neural Modeling by Ronald MacGregor Pdf

The purpose of this book is to introduce and survey the various quantitative methods which have been proposed for describing, simulating, embodying, or characterizing the processing of electrical signals in nervous systems. We believe that electrical signal processing is a vital determinant of the functional organization of the brain, and that in unraveling the inherent complexities of this processing it will be essential to utilize the methods of quantification and modeling which have led to crowning successes in the physical and engineering sciences. In comprehensive terms, we conceive neural modeling to be the attempt to relate, in nervous systems, function to structure on the basis of operation. Sufficient knowledge and appropriate tools are at hand to maintain a serious and thorough study in the area. However, work in the area has yet to be satisfactorily integrated within contemporary brain research. Moreover, there exists a good deal of inefficiency within the area resulting from an overall lack of direction, critical self-evaluation, and cohesion. Such theoretical and modeling studies as have appeared exist largely as fragmented islands in the literature or as sparsely attended sessions at neuroscience conferences. In writing this book, we were guided by three main immediate objectives. Our first objective is to introduce the area to the upcoming generation of students of both the hard sciences and psychological and biological sciences in the hope that they might eventually help bring about the contributions it promises.

Author : G. N. Reeke,R.R. Poznanski,K. A. Lindsay,J.R. Rosenberg,O. Sporns
Publisher : CRC Press
Page : 736 pages
File Size : 47,5 Mb
Release : 2005-03-29
Category : Mathematics
ISBN : 9780203390979

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Modeling in the Neurosciences by G. N. Reeke,R.R. Poznanski,K. A. Lindsay,J.R. Rosenberg,O. Sporns Pdf

Computational models of neural networks have proven insufficient to accurately model brain function, mainly as a result of simplifications that ignore the physical reality of neuronal structure in favor of mathematically tractable algorithms and rules. Even the more biologically based "integrate and fire" and "compartmental" styles of modeling suff

Author : Mostafa Bachar,Jerry J. Batzel,Susanne Ditlevsen
Publisher : Springer
Page : 216 pages
File Size : 48,7 Mb
Release : 2012-10-19
Category : Mathematics
ISBN : 9783642321573

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Stochastic Biomathematical Models by Mostafa Bachar,Jerry J. Batzel,Susanne Ditlevsen Pdf

Stochastic biomathematical models are becoming increasingly important as new light is shed on the role of noise in living systems. In certain biological systems, stochastic effects may even enhance a signal, thus providing a biological motivation for the noise observed in living systems. Recent advances in stochastic analysis and increasing computing power facilitate the analysis of more biophysically realistic models, and this book provides researchers in computational neuroscience and stochastic systems with an overview of recent developments. Key concepts are developed in chapters written by experts in their respective fields. Topics include: one-dimensional homogeneous diffusions and their boundary behavior, large deviation theory and its application in stochastic neurobiological models, a review of mathematical methods for stochastic neuronal integrate-and-fire models, stochastic partial differential equation models in neurobiology, and stochastic modeling of spreading cortical depression.

Author : Thomas M. McKenna,Joel L. Davis,Steven F. Zornetzer
Publisher : Academic Press
Page : 644 pages
File Size : 55,5 Mb
Release : 2014-05-19
Category : Computers
ISBN : 9781483296067

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Single Neuron Computation by Thomas M. McKenna,Joel L. Davis,Steven F. Zornetzer Pdf

This book contains twenty-two original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structure. The focus on cellular-level processes is twofold. From a computational neuroscience perspective, a thorough understanding of the information processing performed by single neurons leads to an understanding of circuit- and systems-level activity. From the standpoint of artificial neural networks (ANNs), a single real neuron is as complex an operational unit as an entire ANN, and formalizing the complex computations performed by real neurons is essential to the design of enhanced processor elements for use in the next generation of ANNs. The book covers computation in dendrites and spines, computational aspects of ion channels, synapses, patterned discharge and multistate neurons, and stochastic models of neuron dynamics. It is the most up-to-date presentation of biophysical and computational methods.

Author : David Sterratt,Bruce Graham,Andrew Gillies,Gaute Einevoll,David Willshaw
Publisher : Cambridge University Press
Page : 553 pages
File Size : 47,9 Mb
Release : 2023-10-05
Category : Science
ISBN : 9781108483148

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Principles of Computational Modelling in Neuroscience by David Sterratt,Bruce Graham,Andrew Gillies,Gaute Einevoll,David Willshaw Pdf

Learn to use computational modelling techniques to understand the nervous system at all levels, from ion channels to networks.

Author : Erik De Schutter
Publisher : CRC Press
Page : 368 pages
File Size : 53,5 Mb
Release : 2000-11-22
Category : Mathematics
ISBN : 9781420039290

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Computational Neuroscience by Erik De Schutter Pdf

Designed primarily as an introduction to realistic modeling methods, Computational Neuroscience: Realistic Modeling for Experimentalists focuses on methodological approaches, selecting appropriate methods, and identifying potential pitfalls. The author addresses varying levels of complexity, from molecular interactions within single neurons to the

Author : Zhe Chen
Publisher : Cambridge University Press
Page : 397 pages
File Size : 52,5 Mb
Release : 2015-10-15
Category : Computers
ISBN : 9781107079199

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Advanced State Space Methods for Neural and Clinical Data by Zhe Chen Pdf

An authoritative and in-depth treatment of state space methods, with a range of applications in neural and clinical data.

Author : Wulfram Gerstner,Werner M. Kistler
Publisher : Cambridge University Press
Page : 498 pages
File Size : 45,6 Mb
Release : 2002-08-15
Category : Computers
ISBN : 0521890799

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Spiking Neuron Models by Wulfram Gerstner,Werner M. Kistler Pdf

Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this 2002 introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed.

Author : Priscilla E. Greenwood,Lawrence M. Ward
Publisher : Springer
Page : 75 pages
File Size : 44,7 Mb
Release : 2016-02-02
Category : Mathematics
ISBN : 9783319269115

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Stochastic Neuron Models by Priscilla E. Greenwood,Lawrence M. Ward Pdf

This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as those arising from stochastic models of the activities of small and large networks of interconnected neurons. The necessary neuroscience background to these problems is outlined within the text, so readers can grasp the context in which they arise. This book will be useful for graduate students and instructors providing material and references for applying probability to stochastic neuron modeling. Methods and results are presented, but the emphasis is on questions where additional stochastic analysis may contribute neuroscience insight. An extensive bibliography is included. Dr. Priscilla E. Greenwood is a Professor Emerita in the Department of Mathematics at the University of British Columbia. Dr. Lawrence M. Ward is a Professor in the Department of Psychology and the Brain Research Centre at the University of British Columbia.