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Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision-making
Open accessAbstract
How do neurons in a decision circuit integrate time-varying signals, in favor of or against alternative choice options? To address this question, we used a recurrent neural circuit model to simulate an experiment in which monkeys performed a direction-discrimination task on a visual motion stimulus. In a recent study, it was found that brief pulses of motion perturbed neural activity in the lateral intraparietal area (LIP), and exerted corresponding effects on the monkey's choices and response times. Our model reproduces the behavioral observations and replicates LIP activity which, depending on whether the direction of the pulse is the same or opposite to that of a preferred motion stimulus, increases or decreases persistently over a few hundred milliseconds. Furthermore, our model accounts for the observation that the pulse exerts a weaker influence on LIP neuronal responses when the pulse is late relative to motion stimulus onset. We show that this violation of time-shift invariance (TSI) is consistent with a recurrent circuit mechanism of time integration. We further examine time integration using two consecutive pulses of the same or opposite motion directions. The induced changes in the performance are not additive, and the second of the paired pulses is less effective than its standalone impact, a prediction that is experimentally testable. Taken together, these findings lend further support for an attractor network model of time integration in perceptual decision making.
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In the citing paper
“Within each pyramidal neural group, strong recurrent excitatory connections can sustain persistent activity triggered by a transient preferred stimulus.”
From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Wong et al., 2007
In the citing paper
“The two neural groups compete through feedback inhibition from interneurons.”
From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Wong et al., 2007
In the citing paper
“In a two-pool version of the model, subpopulations of spiking neurons are selective for two-choice alternatives (e.g., A = left motion, B = right motion).”
From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Wong et al., 2007
In the citing paper
“This prediction is also confirmed by the monkey experiment, which showed that the impact of a brief motion pulse in addition to the random-dot stimulus was greater with an earlier onset time (Huk and Shadlen, 2005; Wong et al., 2007).”
From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Wong et al., 2007
In the citing paper
“In fact, in contrast to the recurrent circuit model, the LCA model actually predicts that later, not earlier, signals influence more the ultimate decision, because an earlier pulse is gradually “forgotten” due to the leak and does not affect significantly the decision that occurs much later (Wong et al., 2007).”
From Decision Making in Recurrent Neuronal Circuits (2008) · cites this paper as Wong et al., 2007
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Metadata
- Authors
- Wong, K.-F.
- Venue
- Frontiers in Computational Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2007
- Volume
- 1
- Pages
- 6-6
- ISSN
- 1662-5188 (ISSN-L)
- PMC
- PMC2525934
- OpenAlex
- W1993762087
- Cited by
- 204
- References
- 32
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 7 · 2023: 7 · 2022: 7 · 2021: 15 · 2020: 15 · 2019: 9 · 2018: 13 · 2017: 6 · 2016: 16 · 2015: 9 · 2014: 10 · 2013: 15 · 2012: 21
- FWCI
- 4.84
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Computational Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Ulster University Research Portal (Ulster University) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Brandeis University
- University of Texas at Austin
- National Institutes of Health
- National Institute of Mental Health (R01MH062349)
- National Institute on Drug Abuse (R01DA016455)
- National Eye Institute (R01EY011378)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- perceptual decision making, time integration, recurrent neural circuits, attractor networks, lateral intraparietal area, motion direction discrimination, time shift invariance
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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