Dissociating early and late error signals in perceptual recognition
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Decisions about object identity follow a period in which evidence is gathered and analyzed. Evidence can consist of both task-relevant external stimuli and internally generated goals and expectations. How the various pieces of information are gathered and filtered into meaningful evidence by the nervous system is largely unknown. Although object recognition is often highly efficient and accurate, errors are common. Errors may be related to faulty evidence gathering arising from early misinterpretations of incoming stimulus information. In addition, errors in task performance are known to elicit late corrective performance monitoring mechanisms that can optimize or otherwise adjust future behavior. In this study, we used functional magnetic resonance imaging (fMRI) in an extended trial paradigm of object recognition to study whether we could identify performance-based signal modulations prior to and following the moment of recognition. The rationale driving the current report is that early modulations in fMRI activity may reflect faulty evidence gathering, whereas late modulations may reflect the presence of performance monitoring mechanisms. We tested this possibility by comparing fMRI activity on correct and error trials in regions of interest (ROIs) that were selected a priori. We found pre- and postrecognition accuracy-dependent modulation in different sets of a priori ROIs, suggesting the presence of dissociable error signals.
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The anterior insula is involved when a feedback is processed consciously.
“This is also in line with the assumption that the aIns is involved when a feedback is processed consciously (Nelson et al., 2010; Wheeler et al., 2008).”
From Cognitive flexibility in adolescence: Neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during development (2015) · cites this paper as Wheeler et al., 2008
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Tremel, J. J., Laurent, P. A., Wolk, D. A., Wheeler, M. E., & Fiez, J. A. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.08.023 · Cited by 8 · see citing works
Self-citationRole of the Insula in Visual and Auditory Perception
Protas, M. (2018) · Springer eBooks · doi:10.1007/978-3-319-75468-0_16 · Cited by 5 · see citing works
Impact of aversive affect on neural mechanisms of categorization decisions
Levitas, D. J., Folco, K. L., & James, T. W. (2023) · Brain and Behavior · doi:10.1002/brb3.3312 · Cited by 3 · see citing works
Dependence of perceptual choice on number of response alternatives and fidelity of evidence
Ploran, E. J. (2011) · D-Scholarship@Pitt (University of Pittsburgh)
Self-citationPredictability of Brain and Decision Making
Roy, S. (2016) · Springer eBooks · doi:10.1007/978-81-322-3622-1_3
- Authors
- Wheeler, M. E., Petersen, S. E., Nelson, S. M., Ploran, E. J., & Velanova, K.
- Affiliations
- University of Pittsburgh (US)
- Washington University in St. Louis (US)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press - Journals
- Published
- 2008-12-01
- Volume
- 20
- Issue
- 12
- Pages
- 2211-2225
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- OpenAlex
- W2060331434
- Cited by
- 30
- References
- 79
- Citations by year
- 2023: 2 · 2022: 1 · 2019: 1 · 2018: 1 · 2016: 5 · 2015: 2 · 2014: 4 · 2013: 1 · 2012: 3
- FWCI
- 1.72
- Type
- journal article
- Language
- en
- Open access
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
- Funders
- University of Pittsburgh
- National Institutes of Health
- McDonnell Center for Systems Neuroscience
- National Institute of Neurological Disorders and Stroke (R01NS046424, NS46424)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Keywords
- error signal, object recognition, perceptual identification, performance monitoring, evidence collection, recognition errors
- MeSH terms
- Adult, Analysis of Variance, Brain Mapping, Decision Making, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Oxygen, Pattern Recognition, Visual, Photic Stimulation, Reaction Time, Visual Cortex, Recognition, Psychology, Feedback, Psychological, Young Adult
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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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