  It is widely believed that the perceptual system of an organism is optimized
for the properties of the environment to which it is exposed. A specific
instance of this principle known as the Infomax principle holds that the
purpose of early perceptual processing is to maximize the mutual information
between the neural coding and the incoming sensory signal. In this article, we
present a method to implement this principle accurately with a local,
spike-based, and continuous-time learning rule.
