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).
Model Type: Connectionist Network
Region(s) or Organism(s): Unknown
Model Concept(s): Rate-coding model neurons
Simulation Environment: MATLAB
Implementer(s): Yarrow, Stuart [s.yarrow at ed.ac.uk]