Stochastic resonance in the sensory systems and its applications in neural prosthetics.

Autor: Matthews P; Discipline of Psychology, Faculty of Health, University of Canberra, Canberra, Australia., Raul P; Discipline of Psychology, Faculty of Health, University of Canberra, Canberra, Australia. Electronic address: pratik.raul@canberra.edu.au., Ward LM; Department of Psychology, University of British Columbia, Vancouver, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada., van Boxtel JJA; Discipline of Psychology, Faculty of Health, University of Canberra, Canberra, Australia; Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia.
Jazyk: angličtina
Zdroj: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2024 Sep; Vol. 165, pp. 182-200. Date of Electronic Publication: 2024 Jul 11.
DOI: 10.1016/j.clinph.2024.07.004
Abstrakt: Noise is generally considered to be detrimental. In the right conditions, however, noise can improve signal detection or information transmission. This counterintuitive phenomenon is called stochastic resonance (SR). SR has generated significant interdisciplinary interest, particularly in physics, engineering, and medical and environmental sciences. In this review, we discuss a growing empirical literature that suggests that noise at the right intensity may improve the detection and processing of auditory, sensorimotor, and visual stimuli. We focus particularly on applications of SR in sensory biology and investigate whether SR-based technologies present a pathway to improve outcomes for individuals living with sensory impairments. We conclude that there is considerable evidence supporting the application of SR in developing sensory prosthetics. However, the progression of SR-based technologies is variable across the sensory modalities. We suggest opportunities for further advancements in each modality, considering the best approaches to maximise benefits and capitalise on progress already made. Overall, SR can offer opportunities to improve existing technologies or to motivate innovations.
(Copyright © 2024 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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