Methods and Models in Neurophysics Lecture Notes of the Les Houches Summer School 2003 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