ArticleProceedings of the National Academy of Sciences of the United States of America2022
Flexible integration of continuous sensory evidence in perceptual estimation tasks.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Perception and neural representation of intermittent odor stimuli in mice.Nature communications · 2026Article
- Sensory integration, temporal prediction, and rule discovery reflect interdependent inference processes.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Dynamics of working memory drift and information flow across the cortical hierarchy.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Explicit error coding can mediate gain recalibration in continuous bump attractor networks.Nature communications · 2025Article
- Disentangling sources of variability in decision-making.Nature reviews. Neuroscience · 2025Review
- Robustly encoding certainty in a metastable neural circuit model.Physical review. E · 2024Article
- Article
- Myelin dystrophy in the aging prefrontal cortex leads to impaired signal transmission and working memory decline: a multiscale computational study.bioRxiv : the preprint server for biology · 2023Article
- Long- and short-term history effects in a spiking network model of statistical learning.Scientific reports · 2023Article
- Sensory fusion in the hoverfly righting reflex.Scientific reports · 2023Article
- Bayesian inference in ring attractor networks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Modelling decision-making biases.Frontiers in computational neuroscience · 2023Review
- Flexible integration of continuous sensory evidence in perceptual estimation tasks.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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3 authors.
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Abstract
Temporal accumulation of evidence is crucial for making accurate judgments based on noisy or ambiguous sensory input. The integration process leading to categorical decisions is thought to rely on competition between neural populations, each encoding a discrete categorical choice. How recurrent neural circuits integrate evidence for continuous perceptual judgments is unknown. Here, we show that a continuous bump attractor network can integrate a circular feature, such as stimulus direction, nearly optimally. As required by optimal integration, the population activity of the network unfolds on a two-dimensional manifold, in which the position of the network's activity bump tracks the stimulus average, and, simultaneously, the bump amplitude tracks stimulus uncertainty. Moreover, the temporal weighting of sensory evidence by the network depends on the relative strength of the stimulus compared to the internally generated bump dynamics, yielding either early (primacy), uniform, or late (recency) weighting. The model can flexibly switch between these regimes by changing a single control parameter, the global excitatory drive. We show that this mechanism can quantitatively explain individual temporal weighting profiles of human observers, and we validate the model prediction that temporal weighting impacts reaction times. Our findings point to continuous attractor dynamics as a plausible neural mechanism underlying stimulus integration in perceptual estimation tasks.
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