Mutual information and filtering of stochastic spiking channels

Using both analytical and numerical methods, we aim to find the relationship between the mutual information between the encoded message and the output spike train in a counting process (e.g. Poisson) channel and the performance of the optimal filter/smoother that decodes the message from the spike train.


© 2017 Institut für Neuroinformatik