Graeme Clark Collection

Permanent URI for this collection

http://hdl.handle.net/11343/375

Filters

1992 - 1997 4
4
Reset filters

Settings
Statistics
Citations
Author: O'Leary, Stephen × End date: 1997 × Start date: 1992 × Type: Conference Item × Subject: electrical stimulation × Subject: otolaryngology × Subject: otology ×

Search Results

Now showing 1 - 4 of 4
  • Item
    Thumbnail Image
    A stochastic model of the electrically stimulated nerve designed for the analysis of large-scale population [Abstract]
    Bruce, I. ; Irlicht, L. S. ; White, M. ; O'Leary, S. J. ; Dynes, S. ; Javel, E. ; Clark, Graeme M. ( 1997)
    Accurate models of Auditory Nerve (AN) response to electrical stimulation may aid in the development of speech processing strategies for cochlear implants. Most models of AN response to electrical stimulation utilize deterministic (non-random) description in spite of strong evidence for stochastic (random) activity in physiological data. Inclusion of stochastic activity in complex models of neural response such as the Hodgkin-Huxley equations has proven to be computationally expensive. They are therefore unsuitable at this time for the calculation of large-scale population responses which could be required for the investigation of sound coding in ensembles of nerve fibers, for the explanation or prediction of psychophysical results, or for the development of speech processing strategies for cochlear implants. It is therefore necessary to develop a simpler model of single-fiber response to electrical stimulation which includes stochastic activity.
  • Item
    Thumbnail Image
    Electrical stimulation of the auditory nerve: prediction psychophysical by a model including stochastic aspects of neural response [Abstracts]
    Bruce, I. ; Irlicht, L. S. ; White, M. ; O'Leary, S. J. ; Clark, Graeme M. ( 1997)
    Accurate models of Auditory Nerve (AN) response to electrical Stimulation may assist with the development of speech processing strategies for cochlear implants. Until recently most models of AN response to electrical stimulation have utilised deterministic (non random) descriptions, in spite of strong evidence for stochastic (random) components of behaviour in the neurophysiological data models of auditory performance using these deterministic descriptions have been unable to predict many important psychophysical phenomena. Can stochastic models improve these predictions.
  • Item
    Thumbnail Image
    A mathematical model of electrical stimulation of the auditory nerve [Abstract]
    Bruce, I. ; Irlicht, L. S. ; White, M. ; O'Leary, S. J. ; Dynes, S. ; Javel, E. ; Clark, Graeme M. ( 1997)
    Accurate models of Auditory Nerve (AN) response to electrical Stimulation may assist with the development of speech processing strategies for cochlear implants. Until recently most models of AN response to electrical stimulation have utilised deterministic (non random) descriptions, in spite of strong evidence for stochastic (random) components of behaviour in the neurophysiological data. Models of auditory performance using these deterministic descriptions have been unable to predict many important psychophysical phenomena. Can stochastic models improve these predictions.
  • Item
    Thumbnail Image
    Responses from single units in the dorsal cochlear nucleus to electrical stimulation of the cochlea
    O'Leary, S. J. ; Tong, Y. C. ; Clark, Graeme M. ( 1992)
    To help improve our understanding of how the brain responds to electrical stimulation of the auditory nerve we have examined the responses of dorsal cochlear nucleus (DCN) units to both acoustic stimulation and electrical stimulation of the cochlea. This work extended our previous studies which have compared the responses to electrical and acoustic stimulation In the auditory nerve (Javel et al 1987, Ann. Otol. Rhinol. laryngeal. Suppl. 128, 96:2630) and the ventral cochlear nucleus (Shepherd et al 1988, NIH Contract NO1-NS-72342, 5th Quarterly Progress Report).