Conference Paper (published)

Using depressing synapses for phase locked auditory onset detection

Details

Citation

Smith L (2001) Using depressing synapses for phase locked auditory onset detection. In: Dorffner G, Bischof H & Hornik K (eds.) Artificial Neural Networks — ICANN 2001: International Conference Vienna, Austria, August 21–25, 2001 Proceedings. Lecture Notes in Computer Science, 2130. International Conference on Artificial Neural Networks — ICANN 2001, Vienna, Austria, 21.08.2001-25.08.2001. Berlin Heidelberg: Springer, pp. 1103-1108. http://link.springer.com/chapter/10.1007/3-540-44668-0_153#; https://doi.org/10.1007/3-540-44668-0_153

Abstract
Auditory onsets are robust features of sounds: because the direct path from sound source to ear is the shortest path, the onset is unaffected by reverberation. Many cells in the cochlear nucleus (in the auditory brainstem) are very sensitive to onsets. We propose a neurobiologically inspired spiking onset detector which spikes in phase with the incoming signal, and which can, as a result, be used to measure relatively small inter-aural time differences, permitting sound source direction estimation.

StatusPublished
Title of seriesLecture Notes in Computer Science
Number in series2130
Publication date31/12/2001
Publication date online31/08/2001
PublisherSpringer
Publisher URLhttp://link.springer.com/chapter/10.1007/3-540-44668-0_153#
Place of publicationBerlin Heidelberg
ISSN of series0302-9743
ISBN978-3-540-42486-4
ConferenceInternational Conference on Artificial Neural Networks — ICANN 2001
Conference locationVienna, Austria
Dates

People (1)

Professor Leslie Smith

Professor Leslie Smith

Emeritus Professor, Computing Science