A pulsed neural network model of spectro-temporal receptive fields and population coding in auditory cortex

Author: Volkmer, Markus

Source: Natural Computing, Volume 3, Number 2, June 2004 , pp. 177-193(17)

Publisher: Springer

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Abstract:

The existence of spectro-temporal receptive fields and evidence for population coding in auditory cortex motivate the development of such models, that explicitly operate in the time-frequency domain and are based on a pulsed neural network. In presenting such a model, a formal connection of the fields of Time Frequency Analysis and Pulsed Neural Networks is established. The resulting neural time-frequency signal representation is shown to be representable as a signal-dependent overcomplete dictionary. It is derived from neural population coding. Signal decomposition and filtering effects are presented, indicating obvious technical applications of the proposed model.

Keywords: auditory cortex model; overcomplete dictionary; population coding; pulsed neural networks; sparse neural code; spectro-temporal receptive fields; time-frequency analysis

Document Type: Research article

DOI: http://dx.doi.org/10.1023/B:NACO.0000027754.87207.18

Affiliations: 1: Email: markus.volkmer@tu-harburg.de

Publication date: 2004-06-01