9th Annual Conference of the International Speech Communication Association

Brisbane, Australia
September 22-26, 2008

Predictability of STRFs in Auditory Cortex Neurons Depends on Stimulus Class

Max F. K. Happel (1), Simon Müller (1), Jörn Anemüller (2), Frank W. Ohl (1)

(1) Leibniz Institute for Neurobiology, Germany; (2) Carl von Ossietzky Universität Oldenburg, Germany

The goal of this study was to predict neuronal responses based on STRF-estimates for different stimulus sets of primary auditory cortex neurons of Mongolian gerbils. Here we review results from STRF estimations after stimulation with frequency modulated (FM) tones, Dynamic Moving Ripples (DMR), as well as, prediction of responses to logatomes stemming from the Oldenburg Logatome Corpus (OLLO) data set [1]. Our results suggest that it is not merely the similarity of the presented power spectrum of stimuli that leads to better STRF predictions. We will suggest new STRF-approaches to categorize neuronal responses to more natural stimuli.

Full Paper

Bibliographic reference.  Happel, Max F. K. / Müller, Simon / Anemüller, Jörn / Ohl, Frank W. (2008): "Predictability of STRFs in auditory cortex neurons depends on stimulus class", In INTERSPEECH-2008, 670.