NDLI: A neural-counting model based on physiological characteristics of the peripheral auditory system. IV. Application to response of individual neural fibers

Content Provider	IEEE Xplore Digital Library
Author	Lachs, G. Saia, R.A. Teich, M.C.
Copyright Year	1971
Abstract	For part III, see Acustica (in press). An energy-based neural-counting model, incorporating refractoriness and spread of excitation, has recently been applied to intensity discrimination and loudness estimation for a variety of acoustic stimuli. In this model, refractoriness was the sole means of achieving the saturation effect of the afferent fiber's response. Though refractoriness (or an effect like it) should be included in a proper Poisson-based model to produce a neural count variance less than the count mean (in accordance with experiment), there is a strong additional saturation effect associated with the response of the receptor. This earlier model is now extended to incorporate the effects of receptor saturation and spontaneous neural activity. In this paper the behavior of individual neural channels is investigated. Theoretical firing-rate curves are obtained as a function of stimulus level and frequency (isointensity contours). These are found to be in good agreement with neurophysiological data. It is shown that it is possible to fit human psychophysical tuning curves with a double-tuned linear filter, by judicious choice of the tuning parameter.
Starting Page	964
Ending Page	972
Page Count	9
File Size	2099493
File Format	PDF
ISSN	00189472
Volume Number	SMC-13
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1983-09-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood detection Nonlinear filters Mathematical model Educational institutions Auditory system Retina Tuning
Content Type	Text
Resource Type	Article
Subject	Engineering

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