COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Methods and Models in Neurophysics - 1st Edition - ISBN: 9780444517920, 9780080536385

Methods and Models in Neurophysics, Volume 80

1st Edition

Lecture Notes of the Les Houches Summer School 2003

Series Volume Editors: Carson Chow Boris Gutkin David Hansel Claude Meunier Jean Dalibard
Hardcover ISBN: 9780444517920
eBook ISBN: 9780080536385
Imprint: Elsevier Science
Published Date: 11th December 2004
Page Count: 862
Sales tax will be calculated at check-out Price includes VAT/GST
Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Table of 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


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.


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


No. of pages:
© Elsevier Science 2004
11th December 2004
Elsevier Science
Hardcover ISBN:
eBook ISBN:

Ratings and Reviews

About the Series Volume Editors

Carson Chow

Boris Gutkin

David Hansel

Claude Meunier

Jean Dalibard

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