Theoretical Neuroscience
Computational and Mathematical Modeling of Neural Systems

Peter Dayan and LF Abbott


Exercises

complete collection of exercises, code and data.

Part I:     Neural Encoding and Decoding

ps.gz    pdf    1   Neural encoding I: Firing rates and spike statistics
                                 code and data   code   c1p8.mat
ps.gz    pdf    2   Neural encoding II: Reverse correlation and visual receptive fields
                                 code and data   code   c1p8.mat    c2p3.mat   
ps.gz    pdf    3   Neural decoding
                                 code and data   code
ps.gz    pdf    4   Information theory
                                 code and data   code

Part II:   Neurons and Neural Circuits

ps.gz    pdf    5   Model neurons I: Neuroelectronics
                                 code and data   code
ps.gz    pdf    6   Model neurons II: Conductances and morphology
                                 code and data   code
ps.gz    pdf    7   Network models
                                 code and data   code  

Part III:  Adaptation and Learning

ps.gz    pdf    8   Plasticity and learning
                                 code and data   code
ps.gz    pdf    9   Classical conditioning and reinforcement learing
                                 code and data   code
ps.gz    pdf    10 Representational learning
                                 code and data   code   c10p1.mat


Notes:
1   The exercises are in ps.gz (gzipped postscript) or pdf , and some include matlab code and data.
2   Some data files are large, and so are also available individually.
3   Code and data files are gzipped and tarred.
4   A directory structure is provided with separate code and data subdirectories for each chapter.
Please let us (Peter Dayan or Larry Abbott) know of questions, improvements or additions to the exercises.