Textbook
Dayan, Peter., and Larry Abbott. "Theoretical Neuroscience." We will follow the first six chapters of the book very closely, and the later chapters more sketchily.
Other Readings
"Convolution and Deconvolution Using the FFT." Numerical Recipes in C.
Dayan, Peter., and Larry Abbott. "Theoretical Neuroscience." Section 1.1-1.5, 2.1-2.6, 3.1, 3.2, 5.2, 5.3, 5.5-5.8, 5.11 (Appendices A and B), 6.2-6.4.
Deutsch, D. "Paradoxes of Musical Pitch." Scientific American, (August 1992): pp. 88-95.
Ermentrout, B., and J. Rinzel. "Analysis of neural excitability and oscillations."
"Fitting Data to a Straight Line." Numerical Recipes in C.
Johnston, D., and S. Miao-Sin Wu. Foundations of Cellular Neurophysiology. Cambridge, Massachusetts, London, England: The MIT Press, 1995, Chapter 2.
Koch, C. Biophysics of Computation, Information Processing in Single Neurons. New York, Oxford: Oxford University Press, 1999, Chapter 6, from Chapter 11.
Palmer, S. E. Vision Science - photons to phenomenology. Cambridge, Massachusetts: The MIT Press, 1999, Section 4.2, 4.3, and pp. 146-154.
Sherman, A. "Lecture Notes and Lab Problems on Numerical Methods." (PDF)
_________. "Numerical Methods in Neuronal Modeling."
Strang, G. Introduction to Applied Mathematics. Wellesley, Massachusetts: Wellesley-Cambridge Press, 1990, Section 4.1 (pp. 263-289), 4.2 (pp. 290-308), 4.3 (pp. 309-329).
Strogatz, S. Nonlinear dynamics and chaos. Boulder, CO: Perseus Books Group, 2001. Sections 3.1, 3.4, 4.3, 5.1, 5.2, 8.2.
Wessel, R., C. Koch, and F. Gabbiani. "Coding of time-varying electric field amplitude modulations in a wave-type electric fish." J. of Neurophysiology 75, 6 (1996): pp. 2280-93.