concept

stochastic resonance

Also known as: SR

Facts (30)

Sources

A Hilbertian approach to biological problems | PLOS Complex ... journals.plos.org PLOS Nov 5, 2024 30 facts

claimThresholded systems that exhibit stochastic resonance are unique forms of dithered quantizers.

claimAdditive noise linearly changes the activation barriers of ion channels with applied transmembrane voltage, which increases the instantaneous rate of the thermally activated reaction and exhibits stochastic resonance.

claimStochastic resonance (SR) is not limited to large networks of excitable units, as it has been observed at the cellular level in crayfish mechanoreceptor cells and in bistable single neuron models that exhibit correlated state switching when driven by noise and periodic external modulation.

claimStochastic resonance is a concept where noise enhances the detection of weak signals.

referenceCollins JJ, Chow CC, and Imhoff TT published 'Stochastic resonance without tuning' in Nature in 1995 (376(6537):236–238).

claimStochastic resonance (SR) is a phenomenon where noise enhances the detection of weak signals in certain nonlinear systems, such as electronic circuits and biological sensory systems.

procedureStochastic resonance involves adding noise to a nonlinear dynamical system to bring a weak signal above a threshold, enabling the system to detect sub-threshold signals.

claimStochastic resonance allows for the detection of small amplitude input signals in thermally driven physico-chemical systems where reaction rates are controlled by activation barriers, such as semiconductor p–n junctions and voltage-dependent ion channels.

claimHarnessing stochastic resonance is an energy-efficient strategy for cells, as increasing the density of ion channels to combat noise is energy-consuming.

claimArtificial ion channels used in studies of stochastic resonance are less sensitive to temperature variations than natural ion channels.

referenceSimonotto E, Riani M, Seife C, Roberts M, Twitty J, and Moss F published 'Visual Perception of Stochastic Resonance' in Physical Review Letters in 1997 (78:1186–1189).

claimStochastic resonance plays a significant role in ion channel signal transduction at the subcellular level, as demonstrated in a large parallel ensemble of artificial polypeptide alamethicin ion channels incorporated into planar lipid bilayers, where signal transduction induced by noise increased over a hundred-fold.

claimStochastic resonance contributes to signal detection in human sensory systems, including acoustic/electric stimulation of hearing, vision, and noise-enhanced tactile sensation and balance control.

claimWiesenfeld and Moss (1995) documented the phenomenon of stochastic resonance and its benefits across diverse systems, ranging from ice ages to crayfish and SQUIDs.

claimStochastic Resonance (SR) allows cells to modulate the sampling precision and information transfer of ion channels through a quantization operation.

referenceBulsara A, Jacobs EW, Zhou T, Moss F, and Kiss L published 'Stochastic resonance in a single neuron model: Theory and analog simulation' in the Journal of Theoretical Biology in 1991 (152(4):531–555).

referenceDouglass JK, Wilkens L, Pantazelou E, and Moss F published 'Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonance' in Nature in 1993 (365(6444):337–340).

claimCells utilize periodic, aperiodic, and nonstationary stochastic resonance at physiological temperatures to enhance signal transmission and information gain while using fewer channels.

claimIn small clusters of ion channels, stochastic resonance and threshold-crossing are primarily defined by individual channel kinetics and thermal-noise-induced stochastic resonance.

claimIn systems subject to periodic forcing, stochastic resonance manifests as a resonance in the spectrum that is absent in both the forcing and the perturbation.

claimStochastic Resonance (SR) affects the responsiveness of individual ion channels by causing them to open stochastically at different rates.

claimUnlike engineered systems that focus on eliminating noise, biological cells harness boundary noise at the subcellular scale using stochastic resonance.

claimFor stochastic resonance to be effective at the cellular scale, the noise must be optimized and adjusted to the nature of the signal.

claimThe multiscale effects of stochastic resonance support the concept that there is no privileged level of causality in biological systems.

claimLarge clusters of ion channels exhibit a type of stochastic resonance that occurs even in the presence of suboptimal intrinsic noise from single channels.

claimIn thresholded nonlinear dynamical systems like cells with excitable membranes, Stochastic Resonance (SR) functions as a special case of a dithering effect rather than a resonant phenomenon.

claimStochastic Resonance (SR) enables cells to remain sensitive to microscopic fluctuations while maintaining a macroscopic understanding of their environment.

claimStochastic Resonance (SR) in multi-thresholded dynamical systems increases the number of quantization levels.

claimStochastic resonance was initially introduced to explain the periodic occurrences of the Earth’s ice ages.

claimBene, Bagdány, and Damjanovich (2022) identified the T-cell receptor as a threshold detector, exhibiting sub- and supra-threshold stochastic resonance in TCR-MHC clusters on the cell surface.