Methods and Models in Neurophysics

1. E. Marder, Experimenting with theory<br>2. A. Borysuk and J. Rinzel, Understanding neuronal dynamics by geometrical dissection of minimal models<br>3. D.Terman, Geometry singular perturbation analysis of neuronal dynamics<br>4. G. Mato, Theory of neural synchrony<br>5. M. Shelley, Some useful numerical techniques for simulating integrate-and-fire networks<br>6. D. Golomb, Propagation of pulses in cortical networks: the single-spike approximation<br>7. M. Tsodyks, Activity-dependent transmission in neocortical synapses<br>8. H. Sompolinsky and J. White, Theory of large recurrent networks: from spikes to behavior<br>9. C. van Vreeswijk, Irregular activity in large networks of neurons<br>10. N. Brunel, Network models of memory<br>11. P. Bressloff, Pattern formation in visual cortex<br>12. F. Wolf, Symmetry breaking and pattern selection in visual cortical development<br>13. A. Treves and Y. Roudi, On the evolution of the brain<br>14. E. Brown, Theory of point processes for neural systems<br>15. C. Pouzat, Technique(s) for spike sorting<br>16. N. Tishby, The emergence of relevant data representations: an information theoretic approach