Methods and Models in Neurophysics, Volume 80

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