Theoretical Neuroscience
Computational and Mathematical Modeling of Neural Systems

Peter Dayan and LF Abbott


Teaching Support
Figures
References
Matlab
Exercises
Errata:   pdf  ps

Figures

Figures are available in powerpoint format (ppt) or as gzip-ed, tar-ed, collections of png (portable network graphics) files.

ppt     tar.gz    Complete collection of figures

Part I:     Neural Encoding and Decoding

ppt     tar.gz     1   Neural encoding I: Firing rates and spike statistics
ppt     tar.gz     2   Neural encoding II: Reverse correlation and visual receptive fields
ppt     tar.gz     3   Neural decoding
ppt     tar.gz     4   Information theory

Part II:   Neurons and Neural Circuits

ppt     tar.gz     5   Model neurons I: Neuroelectronics
ppt     tar.gz     6   Model neurons II: Conductances and morphology
ppt     tar.gz     7   Network models

Part III:  Adaptation and Learning

ppt     tar.gz     8   Plasticity and learning
ppt     tar.gz     9   Classical conditioning and reinforcement learing
ppt     tar.gz     10 Representational learning

ppt     tar.gz     Mathematical appendix

References

The complete set of references in the book is available as
pdf    ps.gz    latex

Matlab

Matlab is a trademark of The MathWorks, Inc. and is available from them.

GNU Octave is free software whose language is mostly compatible with Matlab.

Many tutorials for Matlab can be found on the web (eg using a google search). Many books are also available.