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.