Methods and models in neurophysics = Methodes et modeles en neurophysique : École d'Été de Physique des Houches, Session LXXX, 28 July-29 August 2003, Nato Advanced Study Institute, Ecole Thematique du CNRS /

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Bibliographic Details
Meeting name:	Ecole d'été de physique théorique (Les Houches, Haute-Savoie, France) (80th : 2003)
Edition:	1st ed.
Imprint:	Amsterdam ; San Diego, Calif. : Elsevier, 2005.
Description:	1 online resource (xxxii, 829 pages) : illustrations
Language:	English
Subject:	Neural networks (Neurobiology) -- Computer simulation -- Congresses. Nervous system -- Computer simulation -- Congresses. Computational neuroscience -- Congresses. Computational neuroscience. Nervous system -- Computer simulation. Neural networks (Neurobiology) -- Computer simulation. Electronic books. Conference papers and proceedings. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11153682

Hidden Bibliographic Details
Varying Form of Title:	Methodes et modeles en neurophysique Les Houches 2003 session LXXX
Other authors / contributors:	Chow, C. C. (Carson C.), editor.
ISBN:	9780444517920 0444517928 9780080536385 0080536387
Digital file characteristics:	text file
Notes:	Includes bibliographical references. Print version record.
Summary:	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.
Other form:	Print version: Ecole d'été de physique théorique (Les Houches, Haute-Savoie, France) (80th : 2003). Methods and models in neurophysics. 1st ed. Amsterdam ; San Diego, Calif. : Elsevier, 2005 0444517928 9780444517920

Table of Contents:

1. Experimenting with theory
2. Understanding neuronal dynamics by geometrical dissection of minimal models
3. Geometry singular perturbation analysis of neuronal dynamics
4. Theory of neural synchrony
5. Some useful numerical techniques for simulating integrate-and-fire networks
6. Propagation of pulses in cortical networks: the single-spike approximation
7. Activity-dependent transmission in neocortical synapses
8. Theory of large recurrent networks: from spikes to behavior
9. Irregular activity in large networks of neurons
10. Network models of memory
11. Pattern formation in visual cortex
12. Symmetry breaking and pattern selection in visual cortical development
13. On the evolution of the brain
14. Theory of point processes for neural systems
15. Technique(s) for spike sorting
16. The emergence of relevant data representations: an information theoretic approach

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