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There are two sets of notes below, those from courses taught at Washington University (Bio5641), and those from courses taught at the University of Waterloo (Syde758). Both use the book Neural Engineering as the main text. Some notes that were up previously have been removed as they are being re-written to adhere more closely to the book.

Students in the course are exposed to the fundamentals of designing complex neurobiological systems. Course projects included building models of line attractors, early visual processing, and motor control systems. Each student is matched with an appropriate mentor from the faculty at Washington University or the University of Waterloo.

Systems Design 556/758 (Phil 471/673) (prepared by Chris Eliasmith - complete)

Biology 5641 (prepared by Charles H. Anderson - incomplete)

Computational neuroscience related courses at Waterloo.

1. Rieke, F., D. Warland, R. de Ruyter van Steveninck, and W. Bialek. (1997) Spikes: Exploring the neural code. MIT Press.
2. Wilson, H. R. (1999). Spikes, decisions, and actions: Dynamical foundations of neuroscience. Oxford University Press.
3. Bower, J. M. and D. Beeman (eds.) (1994).The book of Genesis: Exploring realistic neural models with the GEneral NEural SImulation System. Springer-Verlag.
4. Koch, C. (1999). Biophysics of computation: Information processing in single neurons. Oxford University Press.
5. Koch, C. and I. Segev (eds.) (1989). Methods in neuronal modeling: From synapses to networks. MIT Press.
6. Arbib, M. A. (ed.) (1995). The handbook of brain theory and neural networks. MIT Press.
7. Kandel, E. R., J. H. Schwartz, and T. M. Jessell (eds.) (1991). Principles of neural science. Third Edition. Elsevier.

 

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