DocumentCode
183392
Title
Hierarchical processing of temporal asymmetry in human auditory cortex
Author
Tabas, Alejandro ; Balaguer-Ballester, Emili ; Pressnitzer, Daniel ; Siebert, Anita ; Rupp, Andre
Author_Institution
Fac. of Sci. & Technol., Bournemouth Univ., Bournemouth, UK
fYear
2014
fDate
4-6 June 2014
Firstpage
1
Lastpage
4
Abstract
Communication sounds are typically asymmetric in time and human listeners are highly sensitive to short-term temporal asymmetry. Nevertheless neurophysiological correlates of perceptual asymmetry remain largely elusive to current ap-proaches. Physiological recordings suggest that perceptual asymmetry is based on multiple scales of temporal integration within the auditory processing hierarchy. To test this hypothesis, we used magneto-encephalographic recordings to perform a model-driven analysis of auditory evoked fields (AEF) elicited by asymmetric sounds characterised by rising or decreasing envelopes (ramped and damped, respectively), using a hierarchical model of pitch perception with top-down modulation. We found a strong correlation between the perceived salience of ramped and damped stimuli and the AEFs, as quantified by the amplitude of the N100m component. Furthermore, the N100m magnitude is closely mirrored by a hierarchical model with stimulus-driven temporal integration windows of auditory nerve activity patterns. This strong correlation of AEFs, perception and modelling suggests that temporal asymmetry is processed in a hierarchical manner where integration windows are top-down modulated.
Keywords
auditory evoked potentials; magnetoencephalography; medical signal processing; neurophysiology; N100m component; auditory evoked fields; auditory nerve activity patterns; auditory processing hierarchy; communication sounds; damped stimuli; human auditory cortex; human listeners; magnetoencephalographic recordings; model-driven analysis; neurophysiological correlates; perceptual asymmetry; physiological recordings; pitch perception; ramped stimuli; short-term temporal asymmetry; stimulus-driven temporal integration windows; temporal integration; Analytical models; Auditory system; Biological system modeling; Brain modeling; Correlation; Modulation; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition in Neuroimaging, 2014 International Workshop on
Conference_Location
Tubingen
Print_ISBN
978-1-4799-4150-6
Type
conf
DOI
10.1109/PRNI.2014.6858547
Filename
6858547
Link To Document