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2004

Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters

9 years 18 days ago
Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters
The representation of acoustic signals at the cochlear nerve must serve a wide range of auditory tasks that require exquisite sensitivity in both time and frequency. Lewicki (2002) demonstrated that many of the filtering properties of the cochlea could be explained in terms of efficient coding of natural sounds. This model, however, did not account for properties such as phase-locking or how sound could be encoded in terms of action potentials. Here, we extend this theoretical approach with algorithm for learning efficient auditory codes using a spiking population code. Here, we propose an algorithm for learning efficient auditory codes using a theoretical model for coding sound in terms of spikes. In this model, each spike encodes the precise time position and magnitude of a localized, time varying kernel function. By adapting the kernel functions to the statistics natural sounds, we show that, compared to conventional signal representations, the spike code achieves far greater codin...
Evan C. Smith, Michael S. Lewicki
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where NIPS
Authors Evan C. Smith, Michael S. Lewicki
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