In-vitro information method

Slogan: 
Measure mutual information between input current and output spike train
Description: 
This MATLAB toolbox creates a hidden state and fluctuating input, that can be used in current-clamp experiments. Moreover, it provides the functions to calculate the entropy of the hidden state, the mutual information between the hidden state and the input, and the mutual information between the hidden state and an output spike train (calculated from a recorded membrane potential). Finally, it also gives the response of the 'Bayesian Neuron' for comparison.
Contributor / Affiliation: 
Fleur Zeldenrust / Radboud University Nijmegen