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dc.contributor.authorBruce, Ian C.en_US
dc.contributor.authorWhite, Mark W.en_US
dc.contributor.authorIrlicht, Laurence S.en_US
dc.contributor.authorO'Leary, Stephen J.en_US
dc.contributor.authorClark, Graeme M.en_US
dc.date.accessioned2014-05-21T20:31:09Z
dc.date.available2014-05-21T20:31:09Z
dc.date.issued1999en_US
dc.identifier.citationBruce, I. C., White, M. W., Irlicht, L. S., O'Leary, S. J., & Clark, G. M. (1999). The effects of stochastic neural activity in a model predicting intensity perception with cochlear implants: low-rate stimulation. IEEE Transactions on Biomedical Engineering, December, 46(12), 1393-1404.en_US
dc.identifier.urihttp://hdl.handle.net/11343/27532
dc.description© 1999 IEEE. Reprinted from IEEE Transactions on Biomedical Engineering, 46(12).en_US
dc.descriptionThis material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of The University of Melbourne's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.en_US
dc.descriptionBy choosing to view this document, you agree to all provisions of the copyright laws protecting it.en_US
dc.description.abstractMost models of auditory nerve response to electrical stimulation are deterministic, despite significant physiological evidence for stochastic activity. Furthermore, psychophysical models and analyses of physiological data using deterministic descriptions do not accurately predict many psychophysical phenomena. In this paper we investigate whether inclusion of stochastic activity in neural models improves such predictions. To avoid the complication of interpulse interactions and to enable the use of a simpler and faster auditory nerve model we restrict our investigation to single pulses and low-rate (<200 pulses/s) pulse trains. We apply signal detection theory to produce direct predictions of behavioural threshold, dynamic range and intensity difference limen. Specifically, we investigate threshold versus pulse duration (the strength-duration characteristics), threshold and uncomfortable loudness (and the corresponding dynamic range) versus phase duration, the effects of electrode configuration on dynamic range and on strength-duration, threshold versus number of pulses (the temporal-integration characteristics), intensity difference limen as a function of loudness, and the effects of neural survival on these measures. For all psychophysical measures investigated, the inclusion of stochastic activity in the auditory nerve model was found to produce more accurate predictions.en_US
dc.relation.ispartofScientific publications, vol.11, 1998-1999, no.1200en_US
dc.subjectotolaryngologyen_US
dc.subjectauditory nerveen_US
dc.subjectcochlear implanten_US
dc.subjectdynamic rangeen_US
dc.subjectfunctional electrical stimulationen_US
dc.subjectintensity difference limen (IDL)en_US
dc.subjectpsychophysicsen_US
dc.subjectstochastic modelen_US
dc.subjectthresholden_US
dc.subjectuncomfortable loudnessen_US
dc.titleThe effects of stochastic neural activity in a model predicting intensity perception with cochlear implants: low-rate stimulationen_US
dc.typeJournal Articleen_US
melbourne.source.titleIEEE Transactions on Biomedical Engineeringen_US
melbourne.source.monthDecemberen_US
melbourne.source.volume46en_US
melbourne.source.issue12en_US
melbourne.source.pages1393-1404en_US
melbourne.elementsidNA
melbourne.contributor.authorClark, Graeme
melbourne.contributor.authorO'Leary, Stephen
melbourne.accessrightsOpen Access


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