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Methods and Models in Neurophysics
 
 

Methods and Models in Neurophysics, 1st Edition

Lecture Notes of the Les Houches Summer School 2003

 
Methods and Models in Neurophysics, 1st Edition,Carson Chow,Boris Gutkin,David Hansel,Claude Meunier,Jean Dalibard,ISBN9780444517920
 
 
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Chow   &   Gutkin   &   Hansel   &   Meunier   &   Dalibard   

Elsevier Science

9780444517920

9780080536385

862

229 X 152

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Description

Neuroscience is an interdisciplinary field that strives to understand the functioning of neural systems at levels ranging from biomolecules and cells to behaviour and higher brain functions (perception, memory, cognition). Neurophysics has flourished over the past three decades, becoming an indelible part of neuroscience, and has arguably entered its maturity. It encompasses a vast array of approaches stemming from theoretical physics, computer science, and applied mathematics. This book provides a detailed review of this field from basic concepts to its most recent development.

Readership

Advanced graduate students and post-doctoral fellows in mathematics and physics, practicing researchers who are moving into theoretical neuroscience, and to neuroscientists who would like to gain deeper understanding of theory

Carson Chow

Boris Gutkin

David Hansel

Claude Meunier

Jean Dalibard

Ph.D.

Jean Dalibard works in the field of atomic physics and quantum optics. His recent activities is centered on the physics of cold quantum gases, in particular Bose-Einstein condensation.

Affiliations and Expertise

Laboratoire Kastler Brossel, ENS, Paris, France

View additional works by Jean Dalibard

Methods and Models in Neurophysics, 1st Edition

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 systems
15. C. Pouzat, Technique(s) for spike sorting
16. N. Tishby, The emergence of relevant data representations: an information theoretic approach
 
 
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