ArticleHuman brain mapping2019
How are visual words represented? Insights from EEG-based visual word decoding, feature derivation and image reconstruction.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Experience-dependent Changes in the Visual Processing of Letters: Evidence from Electroencephalography Decoding.Journal of cognitive neuroscience · 2026Article
- Beyond Letters: Optimal Transport as a Model for Sub-Letter Orthographic Processing.Neurobiology of language (Cambridge, Mass.) · 2025Article
- The transformation of sensory to perceptual braille letter representations in the visually deprived brain.eLife · 2024Article
- Can prediction error explain predictability effects on the N1 during picture-word verification?Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Interpretable many-class decoding for MEG.NeuroImage · 2023Article
- Recognition of letters displayed as successive contour fragments.AIMS neuroscience · 2022Article
- Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics.Frontiers in artificial intelligence · 2022Article
- Decoding EEG Brain Activity for Multi-Modal Natural Language Processing.Frontiers in human neuroscience · 2021Article
- The Face of Image Reconstruction: Progress, Pitfalls, Prospects.Trends in cognitive sciences · 2020Review
- How are visual words represented? Insights from EEG-based visual word decoding, feature derivation and image reconstruction.Human brain mapping · 2019Article
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Authors and funding
4 authors.
Funding
Abstract
Investigations into the neural basis of reading have shed light on the cortical locus and the functional role of visual-orthographic processing. Yet, the fine-grained structure of neural representations subserving reading remains to be clarified. Here, we capitalize on the spatiotemporal structure of electroencephalography (EEG) data to examine if and how EEG patterns can serve to decode and reconstruct the internal representation of visually presented words in healthy adults. Our results show that word classification and image reconstruction were accurate well above chance, that their temporal profile exhibited an early onset, soon after 100 ms, and peaked around 170 ms. Further, reconstruction results were well explained by a combination of visual-orthographic word properties. Last, systematic individual differences were detected in orthographic representations across participants. Collectively, our results establish the feasibility of EEG-based word decoding and image reconstruction. More generally, they help to elucidate the specific features, dynamics, and neurocomputational principles underlying word recognition.
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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.