A probabilistic model of absolute auditory thresholds and its possible physiological basis.

Detection thresholds for auditory stimuli, specified in terms of their -amplitude or level, depend on the stimulus temporal envelope and decrease with increasing stimulus duration. The neural mechanisms underlying these fundamental across-species observations are not fully understood. Here, we present a "continuous look" model, according to which the stimulus gives rise to stochastic neural detection events whose probability of occurrence is proportional to the 3rd power of the low-pass filtered, time-varying stimulus amplitude. Threshold is reached when a criterion number of events have occurred (probability summation). No long-term integration is required. We apply the model to an extensive set of thresholds measured in humans for tones of different envelopes and durations and find it to fit well. Subtle differences at long durations may be due to limited attention resources. We confirm the probabilistic nature of the detection events by analyses of simple reaction times and verify the exponent of 3 by validating model predictions for binaural thresholds from monaural thresholds. The exponent originates in the auditory periphery, possibly in the intrinsic Ca(2+) cooperativity of the Ca(2+) sensor involved in exocytosis from inner hair cells. It results in growth of the spike rate of auditory-nerve fibers (ANFs) with the 3rd power of the stimulus amplitude before saturating (Heil et al., J Neurosci 31:15424-15437, 2011), rather than with its square (i.e., with stimulus intensity), as is commonly assumed. Our work therefore suggests a link between detection thresholds and a key biochemical reaction in the receptor cells.

[1]  Peter Heil,et al.  Comparison of Absolute Thresholds Derived from an Adaptive Forced-Choice Procedure and from Reaction Probabilities and Reaction Times in a Simple Reaction Time Paradigm , 2006, Journal of the Association for Research in Otolaryngology.

[2]  G M Gerken,et al.  Auditory temporal integration in the normal-hearing and hearing-impaired cat. , 1990, The Journal of the Acoustical Society of America.

[3]  P. Heil,et al.  Temporal Integration of Sound Pressure Determines Thresholds of Auditory-Nerve Fibers , 2001, The Journal of Neuroscience.

[4]  Peter Heil,et al.  A unifying basis of auditory thresholds based on temporal summation , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[5]  P. Heil,et al.  Towards a Unifying Basis of Auditory Thresholds: The Effects of Hearing Loss on Temporal Integration Reconsidered , 2004, Journal of the Association for Research in Otolaryngology.

[6]  P. Heil,et al.  Correcting for false alarms in a simple reaction time task , 2006, Brain Research.

[7]  Keiichi Kitajo,et al.  Synchronization of spontaneous eyeblinks while viewing video stories , 2009, Proceedings of the Royal Society B: Biological Sciences.

[8]  G M Gerken,et al.  Auditory temporal integration and the power function model. , 1990, The Journal of the Acoustical Society of America.

[9]  D. Irvine,et al.  An Improved Model for the Rate–Level Functions of Auditory-Nerve Fibers , 2011, The Journal of Neuroscience.

[10]  R. Schleicher,et al.  Blinks and saccades as indicators of fatigue in sleepiness warners: looking tired? , 2022 .

[11]  M. A. Bouman,et al.  Relation between Hearing Threshold and Duration for Tone Pulses , 1959 .

[12]  Peter Heil,et al.  Summing Across Different Active Zones can Explain the Quasi-Linear Ca2+-Dependencies of Exocytosis by Receptor Cells , 2010, Front. Syn. Neurosci..

[13]  G. Recanzone The biological basis of audition. , 2011, Wiley interdisciplinary reviews. Cognitive science.

[14]  N. Viemeister,et al.  Temporal integration and multiple looks. , 1991, The Journal of the Acoustical Society of America.

[15]  G. K. Yates,et al.  Rate-versus-level functions of primary auditory nerve fibres: Evidence for square law behaviour of all fibre categories in the guinea pig , 1991, Hearing Research.

[16]  Dexter R. F. Irvine,et al.  Towards a unifying basis of auditory thresholds: Distributions of the first-spike latencies of auditory-nerve fibers , 2008, Hearing Research.

[17]  Peter Heil,et al.  A physiological model for the stimulus dependence of first-spike latency of auditory-nerve fibers , 2008, Brain Research.

[18]  Ray Meddis,et al.  The psychophysics of absolute threshold and signal duration: a probabilistic approach. , 2011, The Journal of the Acoustical Society of America.