ArticleProceedings of the National Academy of Sciences of the United States of America2025
From retinotopic to ordinal coding: Dissecting the cortical stages of visual word recognition.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Are letter identity and letter order encoding functionally separable? Evidence from masked priming with visual similarity and letter transpositions.Psychonomic bulletin & review · 2026Article
- Beyond Letters: Optimal Transport as a Model for Sub-Letter Orthographic Processing.Neurobiology of language (Cambridge, Mass.) · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
Abstract
Fluent reading requires the brain to precisely encode the positions of letters within words, distinguishing for instance
Indexed as
Identifiers
What OpenQuestion holds
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.