ArticlePLoS computational biology2022
The lexical categorization model: A computational model of left ventral occipito-temporal cortex activation in visual word recognition.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Simultaneous Cortical Responses to Multiple Written Words.Journal of cognitive neuroscience · 2026Article
- The English Pseudoword Lexicon Project (EPLeP): A resource for investigating pseudoword processing.Behavior research methods · 2026Article
- A neurocognitive interactive activation model of semantic priming in lexical decisions.Scientific reports · 2026Article
- Simultaneous cortical responses to multiple written words.bioRxiv : the preprint server for biology · 2026Article
- Similarities (and Differences) in the Learning Patterns of Single-Word Reading of an Alphabetic Orthography in Monolingual and Bilingual Primary School Children: A Cross-Sectional Study.Brain sciences · 2026Article
- Functional Networks in Developmental Dyslexia: Auditory Discrimination of Words and Pseudowords.NeuroSci · 2026Article
- Fear perception as a function of hemisphere- and time-specific dynamics in the medial temporal lobes.Communications biology · 2025Article
- Can Large Language Models Generate Useful Linguistic Corpora?: A Case Study of the Word Frequency Effect in Young German Readers.Open mind : discoveries in cognitive science · 2025Article
- Article
- Reading reshapes stimulus selectivity in the visual word form area.bioRxiv : the preprint server for biology · 2024Article
- Electrophysiological evidence of lexical processing impacted by foreign language reading anxiety.Heliyon · 2024Article
- Investigating lexical categorization in reading based on joint diagnostic and training approaches for language learners.NPJ science of learning · 2024Article
- Individual word representations dissociate from linguistic context along a cortical unimodal to heteromodal gradient.Human brain mapping · 2024Article
- Engaging in word recognition elicits highly specific modulations in visual cortex.Current biology : CB · 2023Article
- An orthographic prediction error as the basis for efficient visual word recognition.NeuroImage · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To characterize the functional role of the left-ventral occipito-temporal cortex (lvOT) during reading in a quantitatively explicit and testable manner, we propose the lexical categorization model (LCM). The LCM assumes that lvOT optimizes linguistic processing by allowing fast meaning access when words are familiar and filtering out orthographic strings without meaning. The LCM successfully simulates benchmark results from functional brain imaging described in the literature. In a second evaluation, we empirically demonstrate that quantitative LCM simulations predict lvOT activation better than alternative models across three functional magnetic resonance imaging studies. We found that word-likeness, assumed as input into a lexical categorization process, is represented posteriorly to lvOT, whereas a dichotomous word/non-word output of the LCM could be localized to the downstream frontal brain regions. Finally, training the process of lexical categorization resulted in more efficient reading. In sum, we propose that word recognition in the ventral visual stream involves word-likeness extraction followed by lexical categorization before one can access word meaning.
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.