ArticleeLife2022
Improving the accuracy of single-trial fMRI response estimates using GLMsingle.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
100 citing papers in PubMed.
- Representational structure of perceived food attributes in human occipitotemporal cortex.iScience · 2026Article
- Simultaneous Cortical Responses to Multiple Written Words.Journal of cognitive neuroscience · 2026Article
- Developmental changes in similarity between neural representations of mental arithmetic and artificial neural networks.iScience · 2026Article
- Rapid changes in risk attitudes originate from Bayesian inference on parietal magnitude representations.Nature communications · 2026Article
- Post-saccadic disruption of semantic category information in naturalistic scenes.Cortex; a journal devoted to the study of the nervous system and behavior · 2026Article
- Self-supervised learning yields representational signatures of category-selective cortex.Communications biology · 2026Article
- Eccentricity-Constrained CNN Training Reveals Adaptive Information Coding Around the Visual Field.ArXiv · 2026Article
- A cortical gradient in area 55b links language and somato-cognitive action networks.Research square · 2026Article
- A single computational objective can produce specialization of streams in visual cortex.Nature communications · 2026Article
- Multidimensional Feature Tuning in Category Selective Areas of Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Triple-N dataset: large-scale fMRI-guided dense recordings of nonhuman primate neural responses to natural scenes.Nature neuroscience · 2026Article
- Model-based semantic distance reveals adaptive coordination of distinct cognitive systems in flexible knowledge retrieval.Nature communications · 2026Article
- A 5.0 T Ultra-High-Field fMRI Dataset for Naturalistic Visual Scene Processing.Scientific data · 2026Article
- Revisiting the auditory hemodynamic response function in the era of fast fMRI.bioRxiv : the preprint server for biology · 2026Article
- Hierarchical Reconfiguration of Neurocognitive Task Set Representations Mediates Cognitive Flexibility.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Separable and integrated pleasantness coding for appetitive and aversive odors across olfactory and ventral prefrontal cortices.Nature communications · 2026Article
- Latent neural architecture organising shared aesthetic evaluations of visual artworks.Nature communications · 2026Article
- Shared representations in brains and models reveal a two-route cortical organization during scene perception.Communications biology · 2026Article
- An increasingly efficient narrowband object-recognition channel along the ventral stream.bioRxiv : the preprint server for biology · 2026Article
- Simultaneous cortical responses to multiple written words.bioRxiv : the preprint server for biology · 2026Article
40 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in artificial intelligence have inspired a paradigm shift in human neuroscience, yielding large-scale functional magnetic resonance imaging (fMRI) datasets that provide high-resolution brain responses to thousands of naturalistic visual stimuli. Because such experiments necessarily involve brief stimulus durations and few repetitions of each stimulus, achieving sufficient signal-to-noise ratio can be a major challenge. We address this challenge by introducing
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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.