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.