ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2021
Linear Integration of Sensory Evidence over Space and Time Underlies Face Categorization.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Hierarchical binding of cognition to action in the human basal ganglia-thalamic circuit.bioRxiv : the preprint server for biology · 2026Article
- Spatiotemporal Evidence Accumulation Through Saccadic Sampling for Object Recognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Limitation of switching sensory information flow in flexible perceptual decision making.Nature communications · 2025Article
- Better than expected performance effect depends on the spatial location of visual stimulus.Scientific reports · 2025Article
- Article
- Visual Tracking in Amblyopia: A Continuous Psychophysical Approach.Investigative ophthalmology & visual science · 2024Article
- Neural Mechanisms That Make Perceptual Decisions Flexible.Annual review of physiology · 2023Review
- Article
- A temporal hierarchical feedforward model explains both the time and the accuracy of object recognition.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Visual object recognition relies on elaborate sensory processes that transform retinal inputs to object representations, but it also requires decision-making processes that read out object representations and function over prolonged time scales. The computational properties of these decision-making processes remain underexplored for object recognition. Here, we study these computations by developing a stochastic multifeature face categorization task. Using quantitative models and tight control of spatiotemporal visual information, we demonstrate that human subjects (five males, eight females) categorize faces through an integration process that first linearly adds the evidence conferred by task-relevant features over space to create aggregated momentary evidence and then linearly integrates it over time with minimum information loss. Discrimination of stimuli along different category boundaries (e.g., identity or expression of a face) is implemented by adjusting feature weights of spatial integration. This linear but flexible integration process over space and time bridges past studies on simple perceptual decisions to complex object recognition behavior.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.