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2006 Nature Publishing Group Efficient auditory coding

Summary:  2006 Nature Publishing Group
Efficient auditory coding
Evan C. Smith1,2
& Michael S. Lewicki2,3
The auditory neural code must serve a wide range of auditory
tasks that require great sensitivity in time and frequency and be
effective over the diverse array of sounds present in natural
acoustic environments. It has been suggested15
that sensory
systems might have evolved highly efficient coding strategies to
maximize the information conveyed to the brain while minimizing
the required energy and neural resources. Here we show that, for
natural sounds, the complete acoustic waveform can be repre-
sented efficiently with a nonlinear model based on a population
spike code. In this model, idealized spikes encode the precise
temporal positions and magnitudes of underlying acoustic fea-
tures. We find that when the features are optimized for coding
either natural sounds or speech, they show striking similarities to
time-domain cochlear filter estimates, have a frequency-
bandwidth dependence similar to that of auditory nerve fibres,


Source: Andrzejak, Ralph Gregor - Departament de Tecnologia, Universitat Pompeu Fabra


Collections: Computer Technologies and Information Sciences