Calculation of information carried by neuronal responses evoked by ext
ernal stimuli has proven to be an effective tool to study the behaviou
r of evoluted nervous systems. The major problem that arises in this a
nalysis is that the number of stimulus/response pairs available from a
n experiment is limited, while the calculation of the true information
would ideally require an infinite number of pairs. In this paper we p
resent a method that allows an accurate estimate of the information fr
om a limited number of pairs. The method is tested on two types of syn
thethic data. The first type is representative of a typical difficult
problem in pattern recognition and signal detection, while the second
type closely fits the response of geniculate parvocellular neurons to
visual stimuli.