Find models by
Find models for
Find models of
Electrical synapses (gap junctions)
SenseLab mailing list
ModelDB related resources
Computational neuroscience ecosystem
Models in a git repository
Fisher and Shannon information in finite neural populations (Yarrow et al. 2012)
Download zip file
Help downloading and running models
Here we model populations of rate-coding neurons with bell-shaped tuning curves and multiplicative Gaussian noise. This Matlab code supports the calculation of information theoretic (mutual information, stimulus-specific information, stimulus-specific surprise) and Fisher-based measures (Fisher information, I_Fisher, SSI_Fisher) in these population models. The information theoretic measures are computed by Monte Carlo integration, which allows computationally-intensive decompositions of the mutual information to be computed for relatively large populations (hundreds of neurons).
Yarrow S, Challis E, Seriès P (2012) Fisher and Shannon information in finite neural populations.
(Click on a link to find other models with that property)
Rate-coding model neurons;
Yarrow, Stuart [s.yarrow at ed.ac.uk];
File not selected
<- Select file from this column.
Loading data, please wait...