Methods And Models In Neurophysics
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Methods And Models In Neurophysics
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Author : Carson Chow
language : en
Publisher: Elsevier
Release Date : 2005
Methods And Models In Neurophysics written by Carson Chow and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Language Arts & Disciplines categories.
1. E. Marder, Experimenting with theory -- 2. A. Borysuk and J. Rinzel, Understanding neuronal dynamics by geometrical dissection of minimal models -- 3. D. Terman, Geometry singular perturbation analysis of neuronal dynamics -- 4. G. Mato, Theory of neural synchrony -- 5. M. Shelley, Some useful numerical techniques for simulating integrate-and-fire networks -- 6. D. Golomb, Propagation of pulses in cortical networks: the single-spike approximation -- 7. M. Tsodyks, Activity-dependent transmission in neocortical synapses -- 8. H. Sompolinsky and J. White, Theory of large recurrent networks: from spikes to behavior -- 9. C. van Vreeswijk, Irregular activity in large networks of neurons -- 10. N. Brunel, Network models of memory -- 11. P. Bressloff, Pattern formation in visual cortex -- 12. F. Wolf, Symmetry breaking and pattern selection in visual cortical development -- 13. A. Treves and Y. Roudi, On the evolution of the brain -- 14. E. Brown, Theory of point processes for neural syst ...
An Introduction To Model Based Cognitive Neuroscience
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Author : Birte U. Forstmann
language : en
Publisher: Springer Nature
Release Date :
An Introduction To Model Based Cognitive Neuroscience written by Birte U. Forstmann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Methods In Neuronal Modeling
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Author : Christof Koch
language : en
Publisher: MIT Press
Release Date : 1998
Methods In Neuronal Modeling written by Christof Koch and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Nervous system categories.
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 / ...
Methods In Neuronal Modeling
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Author : Christof Koch
language : en
Publisher: Bradford Book
Release Date : 1991
Methods In Neuronal Modeling written by Christof Koch and has been published by Bradford Book this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Circuito neural categories.
Computational Neuroscience For Advancing Artificial Intelligence Models Methods And Applications
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Author : Alonso, Eduardo
language : en
Publisher: IGI Global
Release Date : 2010-11-30
Computational Neuroscience For Advancing Artificial Intelligence Models Methods And Applications written by Alonso, Eduardo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-30 with Computers categories.
"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"--
Stochastic Methods In Neuroscience
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Author : Carlo Laing
language : en
Publisher: OUP Oxford
Release Date : 2009-09-24
Stochastic Methods In Neuroscience written by Carlo Laing and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-24 with Mathematics categories.
Great interest is now being shown in computational and mathematical neuroscience, fuelled in part by the rise in computing power, the ability to record large amounts of neurophysiological data, and advances in stochastic analysis. These techniques are leading to biophysically more realistic models. It has also become clear that both neuroscientists and mathematicians profit from collaborations in this exciting research area. Graduates and researchers in computational neuroscience and stochastic systems, and neuroscientists seeking to learn more about recent advances in the modelling and analysis of noisy neural systems, will benefit from this comprehensive overview. The series of self-contained chapters, each written by experts in their field, covers key topics such as: Markov chain models for ion channel release; stochastically forced single neurons and populations of neurons; statistical methods for parameter estimation; and the numerical approximation of these stochastic models. Each chapter gives an overview of a particular topic, including its history, important results in the area, and future challenges, and the text comes complete with a jargon-busting index of acronyms to allow readers to familiarize themselves with the language used.
Methods And Models In Neurophysics
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Author :
language : en
Publisher:
Release Date : 2005
Methods And Models In Neurophysics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computational neuroscience categories.
Mathematical Foundations Of Neuroscience
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Author : G. Bard Ermentrout
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-08
Mathematical Foundations Of Neuroscience written by G. Bard Ermentrout and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-08 with Mathematics categories.
Arising from several courses taught by the authors, this book provides a needed overview illustrating how dynamical systems and computational analysis have been used in understanding the types of models that come out of neuroscience.
Research Methods For Cognitive Neuroscience
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Author : Aaron Newman
language : en
Publisher: SAGE
Release Date : 2019-03-18
Research Methods For Cognitive Neuroscience written by Aaron Newman and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-18 with Psychology categories.
This book provides a comprehensive introduction to the various methods, techniques and imaging models for measuring the activities of the brain, from fMRI to PET and much more.
Principles Of Computational Modelling In Neuroscience
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Author : David Sterratt
language : en
Publisher: Cambridge University Press
Release Date : 2011-06-30
Principles Of Computational Modelling In Neuroscience written by David Sterratt and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-30 with Medical categories.
The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signalling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modelling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience.
