Stochastic Resonance (SR) is a statistical process occurring only in nonlinear dynamical systems whereby a subthreshold coherent stimulus or signal can be enhanced by noise. The signal alone is too weak to cause a state change of the system. State changes are the carriers of information through the system. In the presence of random noise, however, the system can change state, more‐or‐less randomly, but with some degree of coherence with the signal. A measure of this coherence at the output shows a maximum at an optimal value of the noise intensity as the signature of SR. SR is the object of recent and continued experimental and theoretical research in statistical physics. While SR has been demonstrated in a variety of physical systems, it has not yet been discovered in any naturally occurring system. This paper was stimulated by the idea that the sensory nervous system might be an appropriate setting for a search for naturally occurring SR. The detection of weak stimuli, often in the presence of noise, is, after all, the first business of the sensory system. Moreover, the system is evolved, which admits the possibility that the process of natural selection might have resulted in an optimization with respect to the (inevitable) noise. This paper describes an experiment designed to observe SR in the mechanoreceptor cells of the crayfish Procambarus clarkii, shown on the left in Fig. 1, using external noise plus a weak coherent signal as the stimulus.
Skip Nav Destination
Article navigation
10 August 1993
Noise in physical systems and 1/f fluctuations
1993
St. Louis, Missouri (USA)
Research Article|
August 10 1993
Stochastic Resonance in crayfish hydrodynamic receptors stimulated with external noise Available to Purchase
J. K. Douglass;
J. K. Douglass
Departments of Biology and Physics, University of Missouri, St. Louis, Missouri 63121
Search for other works by this author on:
L. A. Wilkens;
L. A. Wilkens
Departments of Biology and Physics, University of Missouri, St. Louis, Missouri 63121
Search for other works by this author on:
E. Pantazelou;
E. Pantazelou
Departments of Biology and Physics, University of Missouri, St. Louis, Missouri 63121
Search for other works by this author on:
F. Moss
F. Moss
Departments of Biology and Physics, University of Missouri, St. Louis, Missouri 63121
Search for other works by this author on:
J. K. Douglass
Departments of Biology and Physics, University of Missouri, St. Louis, Missouri 63121
L. A. Wilkens
Departments of Biology and Physics, University of Missouri, St. Louis, Missouri 63121
E. Pantazelou
Departments of Biology and Physics, University of Missouri, St. Louis, Missouri 63121
F. Moss
Departments of Biology and Physics, University of Missouri, St. Louis, Missouri 63121
AIP Conf. Proc. 285, 712–715 (1993)
Citation
J. K. Douglass, L. A. Wilkens, E. Pantazelou, F. Moss; Stochastic Resonance in crayfish hydrodynamic receptors stimulated with external noise. AIP Conf. Proc. 10 August 1993; 285 (1): 712–715. https://doi.org/10.1063/1.44592
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Design of a 100 MW solar power plant on wetland in Bangladesh
Apu Kowsar, Sumon Chandra Debnath, et al.
With synthetic data towards part recognition generalized beyond the training instances
Paul Koch, Marian Schlüter, et al.
Related Content
Using an electronic FitzHugh‐Nagumo simulator to mimic noisy electrophysiological data from stimulated crayfish mechanoreceptor cells
AIP Conf. Proc. (August 1993)
The role of noise in sensory information transfer
AIP Conf. Proc. (August 1993)
Stochastic phase synchronization in the crayfish mechanoreceptor/photoreceptor system
Chaos (March 2003)
Homoclinic Bifurcation in a Thermally Sensitive Neuron
AIP Conf. Proc. (July 2002)
Stochastic Synchronization and Signal Rectification in the Crayfish Caudal Photoreceptor
AIP Conf. Proc. (May 2003)