Mutual Information of Population Codes and Distance Measures in Probability Space

Kukjin Kang, Haim Sompolinsky

Published 2001-01-11, updated 2001-03-19Version 3

We studied the mutual information between a stimulus and a large system consisting of stochastic, statistically independent elements that respond to a stimulus. The Mutual Information (MI) of the system saturates exponentially with system size. A theory of the rate of saturation of the MI is developed. We show that this rate is controlled by a distance function between the response probabilities induced by different stimuli. This function, which we term the {\it Confusion Distance} between two probabilities, is related to the Renyi $\alpha$-Information.