Internal and External Influences on the Rate of Sensory Evidence Accumulation in the Human Brain
Open accessAbstract
We frequently need to make timely decisions based on sensory evidence that is weak, ambiguous, or noisy resulting from conditions in the external environment (e.g., a cluttered visual scene) or within the brain itself (e.g., inattention, neural noise). Here we examine how externally and internally driven variations in the quality of sensory evidence affect the build-to-threshold dynamics of a supramodal “decision variable” signal and, hence, the timing and accuracy of decision reports in humans. Observers performed a continuous-monitoring version of the prototypical two-alternative dot-motion discrimination task, which is known to strongly benefit from sequential sampling and temporal accumulation of evidence. A centroparietal positive potential (CPP), which we previously established as a supramodal decision signal based on its invariance to motor or sensory parameters, exhibited two key identifying properties associated with the “decision variable” long described in sequential sampling models: (1) its buildup rate systematically scaled with sensory evidence strength across four levels of motion coherence, consistent with temporal integration; and (2) its amplitude reached a stereotyped level at the moment of perceptual report executions, consistent with a boundary-crossing stopping criterion. The buildup rate of the CPP also strongly predicted reaction time within coherence levels (i.e., independent of physical evidence strength), and this endogenous variation was linked with attentional fluctuations indexed by the level of parieto-occipital α-band activity preceding target onset. In tandem with the CPP, build-to-threshold dynamics were also observed in an effector-selective motor preparation signal; however, the buildup of this motor-specific process significantly lagged that of the supramodal process.
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The P3 may encode motivationally significant events, which in the present study were the saliently colored/ethnic Black hands during SRC processing.
“This suggests that the P3 may encode motivationally significant events, which, in the present study, were the saliently colored/ethnic Black hands during SRC processing, potentially contributing to a dynamic decision process of linking perception to action31,42–45”
From Event-related potentials of automatic imitation are modulated by ethnicity during stimulus processing, but not during motor execution (2018) · cites this paper as [43]
The Discussion (page unavailable) describes the P300/P3b as evoked by task-relevant events requiring decisions and proposes viewing it as a dynamically evolving decision process. It does not characterize those events as motivationally significant. The identification of Black hands as such events is the citing authors’ interpretation of their own study, not a finding of this source. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe role of the P3 component lies in bridging stimulus perception and response execution in a dynamically evolving decision process.
“It has been suggested that the role of the P3 component lies in bridging stimulus perception and response execution31,44 in a dynamically evolving decision process, linking sensory encoding of stimulus perception to the preparation of action42,43,45, and/or response control44.”
From Event-related potentials of automatic imitation are modulated by ethnicity during stimulus processing, but not during motor execution (2018) · cites this paper as [43]
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- Authors
- Kelly, S. P., & O'Connell, R. G.
- Affiliations
- City College of New York (US)
- ORCID
- Kelly, Simon P.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2013-12-11
- Volume
- 33
- Issue
- 50
- Pages
- 19434-19441
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6618757
- OpenAlex
- W2119976941
- Cited by
- 455
- References
- 56
- Citations by year
- 2026: 44 · 2025: 41 · 2024: 55 · 2023: 47 · 2022: 29 · 2021: 37 · 2020: 38 · 2019: 31 · 2018: 31 · 2017: 29 · 2016: 33 · 2015: 23 · 2014: 17
- FWCI
- 13.35
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Arrow@dit (Dublin Institute of Technology) (acceptedVersion)
- Research Repository UCD (University College Dublin) (submittedVersion, cc-by-nc-nd)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (submittedVersion, cc-by-nc-sa)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- sensory evidence accumulation, sequential sampling, decision variables, motion coherence, temporal integration, boundary crossing, reaction time, alpha activity, attentional fluctuations, motor preparation, perceptual decision making
- MeSH terms
- Adult, Brain, Brain Mapping, Decision Making, Electroencephalography, Female, Humans, Male, Models, Neurological, Reaction Time
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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