Noise-Induced Tuning Curve Changes in Mechanoreceptors
- 1 April 1998
- journal article
- research article
- Published by American Physiological Society in Journal of Neurophysiology
- Vol. 79 (4) , 1879-1890
- https://doi.org/10.1152/jn.1998.79.4.1879
Abstract
Ivey, Chandra, A. Vania Apkarian, and Dante R. Chialvo. Noise-induced tuning curve changes in mechanoreceptors. J. Neurophysiol. 79: 1879–1890, 1998. Fibers from the tibial nerve of rat were isolated and spike activity recorded using monopolar hook electrodes. The receptive field (RF) of each recorded unit on the glabrous skin of the foot was mechanically stimulated with waveforms comprised of various frequency sine waves in addition to increasing levels of white noise. Single-unit responses were recorded for both rapidly adapting (RA) and slowly adapting (SA) units. Signal-to-noise ratio (SNR) of the output was quantified by the correlation coefficient ( C 1) between the input sine wave and the nerve responses. The addition of noise enhanced signal transmission in both RA and SA fibers. With increasing noise, the initially inverted “V”-shaped, zero-noise tuning curves for RA fibers broadened and eventually inverted. There was a large expansion of the frequencies that the RA receptor responded to with increasing noise input. On the other hand, the typical shape of the SA fiber tuning curves remained invariant, at all noise levels tested. C 1 values continued to increase with larger noise input for higher frequencies, but did not do so at the lowest frequencies. For both RA and SA fibers the responses with added noise tended to be rate modulated at the low-frequency end, and followed nonlinear stochastic resonance (SR) properties at the higher frequencies. The changes in the tuning properties due to noise found here, as well as preliminary psychophysics data, imply that external noise is relevant for sensing small periodic signals in the environment. All current models of sensory perception assume that the tuning properties of receptors determined in the absence of noise are preserved during everyday tasks. Our results indicate that this is not true in a noisy environment.Keywords
This publication has 29 references indexed in Scilit:
- Visual Perception of Stochastic ResonancePhysical Review Letters, 1997
- Stochastic resonance in models of neuronal ensemblesPhysical Review E, 1997
- Stochastic resonance in non-dynamical systems without response thresholdsNature, 1997
- Broadband neural encoding in the cricket cereal sensory system enhanced by stochastic resonanceNature, 1996
- Modulated noisy biological dynamics: Three examplesJournal of Statistical Physics, 1993
- Stochastic resonance in a single neuron model: Theory and analog simulationJournal of Theoretical Biology, 1991
- Time-interval sequences in bistable systems and the noise-induced transmission of information by sensory neuronsPhysical Review Letters, 1991
- Four channels mediate the mechanical aspects of touchThe Journal of the Acoustical Society of America, 1988
- Quest: A Bayesian adaptive psychometric methodPerception & Psychophysics, 1983
- The mechanism of stochastic resonanceJournal of Physics A: General Physics, 1981