2022
DOI: 10.1523/jneurosci.0861-21.2022
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Neural Encoding of Active Multi-Sensing Enhances Perceptual Decision-Making via a Synergistic Cross-Modal Interaction

Abstract: Most perceptual decisions rely on the active acquisition of evidence from the environment involving stimulation from multiple senses. However, our understanding of the neural mechanisms underlying this process is limited. Crucially, it remains elusive how different sensory representations interact in the formation of perceptual decisions. To answer these questions, we used an active sensing paradigm coupled with neuroimaging, multivariate analysis, and computational modeling to probe how the human brain proces… Show more

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Cited by 18 publications
(13 citation statements)
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“…speech envelope and speech kinematics principal components). The PID can indeed extract unique, synergistic or redundant information contained in the sources ( Park et al, 2018 ;Daube et al, 2019 ;Delis et al, 2022 ).…”
Section: Discussionmentioning
confidence: 99%
“…speech envelope and speech kinematics principal components). The PID can indeed extract unique, synergistic or redundant information contained in the sources ( Park et al, 2018 ;Daube et al, 2019 ;Delis et al, 2022 ).…”
Section: Discussionmentioning
confidence: 99%
“…Theoretical (Grasso et al, 2021;Rosas et al, 2019), methodological (Ince et al, 2017), and empirical (Delis et al, 2022;El-Gaby et al, 2021;Gatica et al, 2021;Luppi et al, 2020;Shahidi et al, 2019) studies support collective behavior as a biologically plausible signature of the brain in health and disease (Kragel et al, 2018). Nevertheless, accurately characterizing collective dynamics in brain networks has been hindered by the technical impossibility of assessing the exponentially increasing number of high-order interactions (Roebroeck et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Drift diffusion models (DDM) were used to quantify possible differences in the parameters of decision making across the thee behavioral paradigms (Wiecki et al, 2013). We compared four DDM models with various parameter constraints (Delis et al, 2018; Schriver et al, 2020; Delis et al, 2022). The first model assumed an unbiased starting point, i.e.…”
Section: Methodsmentioning
confidence: 99%