Volume 80. Methods and Models in Neurophysics

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