Methods and Models in Neurophysics

Lecture Notes of the Les Houches Summer School 2003

Edited by

  • Carson Chow
  • Boris Gutkin
  • David Hansel
  • Claude Meunier
  • Jean Dalibard, Ph.D., Laboratoire Kastler Brossel, ENS, Paris, France

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.
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Audience

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

 

Book information

  • Published: December 2004
  • Imprint: ELSEVIER
  • ISBN: 978-0-444-51792-0


Table of Contents

1. E. Marder, Experimenting with theory2. A. Borysuk and J. Rinzel, Understanding neuronal dynamics by geometrical dissection of minimal models3. D.Terman, Geometry singular perturbation analysis of neuronal dynamics4. G. Mato, Theory of neural synchrony5. M. Shelley, Some useful numerical techniques for simulating integrate-and-fire networks6. D. Golomb, Propagation of pulses in cortical networks: the single-spike approximation7. M. Tsodyks, Activity-dependent transmission in neocortical synapses8. H. Sompolinsky and J. White, Theory of large recurrent networks: from spikes to behavior9. C. van Vreeswijk, Irregular activity in large networks of neurons10. N. Brunel, Network models of memory11. P. Bressloff, Pattern formation in visual cortex12. F. Wolf, Symmetry breaking and pattern selection in visual cortical development13. A. Treves and Y. Roudi, On the evolution of the brain14. E. Brown, Theory of point processes for neural systems15. C. Pouzat, Technique(s) for spike sorting16. N. Tishby, The emergence of relevant data representations: an information theoretic approach