MB208: Theoretical and Computational Neuroscience

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Reference Books

a. Peter Dayan and L. F. Abbott, Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems, The MIT press, 2005.

b. Christof Koch and Idan Segev (Eds), Methods in Neuronal Modeling: From Ions to Networks, The MIT press, second edition, 1998.

c. Eric De Schutter (Ed.), Computational modeling methods for neuroscientists, The MIT press, 2009.

d. Eugene Izhikevich, Dynamical systems in neuroscience: the geometry of excitability and bursting, The MIT press, 2006.

e. Kenji Doya, Shin Ishii, Alexandre Pouget, Rajesh PN Rao (Eds), Bayesian Brain: Probabilistic Approaches to Neural Coding, The MIT press, 2007.

f. Fred Rieke, David Warland, Rob de Ruyter van Steveninck and William Bialek, Spikes: Exploring the Neural Code, The MIT press, 1999.

g. G. Bard Ermentrout and David H. Terman, Mathematical Foundations of Neuroscience, Springer, 2010.

h. Fabrizio Gabbiani and Steven James Cox, Mathematics for Neuroscientists, Academic Press, 2010.

i. Gilbert Strang, Introduction to Linear Algebra, Fourth Edition, Wellesley-Cambridge Press, 2009.