ArticleeLife2017
Bottom-up and top-down computations in word- and face-selective cortex.
Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.
What it found
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Who cites it
81 citing papers in PubMed, 165 citations in OpenAlex.
- Simultaneous Cortical Responses to Multiple Written Words.Journal of cognitive neuroscience · 2026Article
- Context-dependent reconfiguration of functional connectivity in posterior (VWFA-1) and anterior (VWFA-2) visual word form area under attentional and linguistic demands.Behavioral and brain functions : BBF · 2026Article
- Individual differences in brain systems supporting declarative and procedural memory during grammatical error processing in children.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- An increasingly efficient narrowband object-recognition channel along the ventral stream.bioRxiv : the preprint server for biology · 2026Article
- Dissociating stimulus encoding and task demands in ECoG responses from human visual cortex.bioRxiv : the preprint server for biology · 2026Article
- A Systematic Characterization of Causal Interactions Between Human Visual Areas.bioRxiv : the preprint server for biology · 2026Article
- A 7T fMRI dataset of synthetic images for out-of-distribution modeling of vision.Nature communications · 2026Article
- Processing of natural scenes in the human pulvinar.Nature communications · 2025Article
- The balance between stability and plasticity of the visual word form area in dyslexia.Nature communications · 2025Article
- Article
- Distinct neural representational geometries of numerosity in early visual and association regions across visual streams.Communications biology · 2025Article
- Neural Distinction between Visual Word and Object Recognition: An fMRI Study Using Pictographs.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Neural mechanisms of resource allocation in working memory.Science advances · 2025Article
- Individual variation in the functional lateralization of human ventral temporal cortex: Local competition and long-range coupling.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Individual variation in the functional lateralization of human ventral temporal cortex: Local competition and long-range coupling.bioRxiv : the preprint server for biology · 2025Article
- Separating feedforward and feedback dynamics using time-frequency resolved connectivity: A hybrid model of left ventral occipitotemporal cortex in word reading.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Psychophysical assessment of face perception deficits in adults with amblyopia through top-down and bottom-up visual processing pathways.Frontiers in neuroscience · 2025Article
- An fMRI dataset in response to large-scale short natural dynamic facial expression videos.Scientific data · 2024Article
- Distributed network flows generate localized category selectivity in human visual cortex.PLoS computational biology · 2024Article
- Linking cortical surface area to computational properties in human visual perception.iScience · 2024Article
21 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
The ability to read a page of text or recognize a person's face depends on category-selective visual regions in ventral temporal cortex (VTC). To understand how these regions mediate word and face recognition, it is necessary to characterize how stimuli are represented and how this representation is used in the execution of a cognitive task. Here, we show that the response of a category-selective region in VTC can be computed as the degree to which the low-level properties of the stimulus match a category template. Moreover, we show that during execution of a task, the bottom-up representation is scaled by the intraparietal sulcus (IPS), and that the level of IPS engagement reflects the cognitive demands of the task. These results provide an account of neural processing in VTC in the form of a model that addresses both bottom-up and top-down effects and quantitatively predicts VTC responses.
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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.