Stochastic resonance enhances the rate of evidence accumulation during combined brain stimulation and perceptual decision-making

PLoS Computational Biology
Onno van der GroenJason B Mattingley

Abstract

Perceptual decision-making relies on the gradual accumulation of noisy sensory evidence. It is often assumed that such decisions are degraded by adding noise to a stimulus, or to the neural systems involved in the decision making process itself. But it has been suggested that adding an optimal amount of noise can, under appropriate conditions, enhance the quality of subthreshold signals in nonlinear systems, a phenomenon known as stochastic resonance. Here we asked whether perceptual decisions made by human observers obey these stochastic resonance principles, by adding noise directly to the visual cortex using transcranial random noise stimulation (tRNS) while participants judged the direction of coherent motion in random-dot kinematograms presented at the fovea. We found that adding tRNS bilaterally to visual cortex enhanced decision-making when stimuli were just below perceptual threshold, but not when they were well below or above threshold. We modelled the data under a drift diffusion framework, and showed that bilateral tRNS selectively increased the drift rate parameter, which indexes the rate of evidence accumulation. Our study is the first to provide causal evidence that perceptual decision-making is susceptible to a s...Continue Reading

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Citations

Jan 4, 2020·The International Journal of Neuropsychopharmacology·Stevan NikolinColleen K Loo
Mar 7, 2019·Frontiers in Human Neuroscience·Elisabeth B Knelange, Joan López-Moliner
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Jun 6, 2020·Frontiers in Computational Neuroscience·Yuxuan FuGuanrong Chen
Oct 6, 2020·Restorative Neurology and Neuroscience·Luca BattagliniClara Casco
Aug 15, 2018·Neuropsychologia·Florian HerpichLorella Battelli
Jul 9, 2021·Frontiers in Genetics·Vladimir N Uversky, Alessandro Giuliani
Nov 27, 2021·ELife·Federica ContòLorella Battelli

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