Learning of sparse auditory receptive fields

Abstract

It is largely unknown how the properties of the auditory system relate to the properties of natural sounds. Here, we analyze representations of simulated neurons that have optimally sparse activity in response to spectro-temporal speech data. These representations share important properties with the auditory neurons determined in electrophysiological experiments.