Actions for 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

Email RIS file
Bookmark
Report an Issue

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 / edited by C.C. Chow [and others].

Conference Author
Ecole d'été de physique théorique (Les Houches, Haute-Savoie, France) (80th : 2003)
Additional Titles
Methodes et modeles en neurophysique and Les Houches 2003 session LXXX
Published
Amsterdam ; San Diego, Calif. : Elsevier, 2005.
Edition
1st ed.
Physical Description
1 online resource (xxxii, 829 pages) : illustrations
Additional Creators
Chow, C. C. (Carson C.)
Access Online

Availability

I Want It
I Want It

Finding items...

Contents
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.
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.
Subject(s)
Genre(s)
ISBN
9780444517920
0444517928
9780080536385 (electronic bk.)
0080536387 (electronic bk.)
Digital File Characteristics
text file
Bibliography Note
Includes bibliographical references.
View MARC record | catkey: 43324556