Projects per year
Abstract
Several studies have been published which show that it is possible to decode semantic representations directly from brain responses. This has been repeatedly successful when the stimuli used were pictures of objects. However, there is a distinct scarcity of studies decoding responses to orthographic stimuli, particularly those employing time-sensitive imaging methods. We use examples from our own research to highlight the challenges we have faced when attempting to decode semantic representations from MEG responses to written words. We discuss differences in brain responses to pictures and orthographic stimuli to determine the characteristics of the brain responses that allow for successful decoding of semantics. We suspect the limited number of published studies on this topic indicates that these challenges are not unique to our experience. By bringing attention to these issues, we hope to stimulate a new wave of discussion leading to eventual progress.
Original language | English |
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Journal | Language, Cognition and Neuroscience |
DOIs | |
Publication status | E-pub ahead of print - 2023 |
MoE publication type | A1 Journal article-refereed |
Keywords
- decoding
- language
- magnetoencephalography
- Semantics
- written words
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Van Vliet Marijn AT-palkka: Unraveling language in the brain through biologically plausible modeling of interconnected cognitive systems
01/09/2021 → 31/08/2026
Project: Academy of Finland: Other research funding
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-: Individual cortical markers of language function
Salmelin, R., Liljeström, M., Saarinen, T., Ghazaryan, G., Rinkinen, O., Hukari, A., Cotroneo, S. & Mäkelä, S.
01/09/2018 → 31/12/2022
Project: Academy of Finland: Other research funding
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Moving from observation to understanding in neuroscience: extending computational models to predict neuroimaging data
01/09/2017 → 31/12/2020
Project: Academy of Finland: Other research funding
Equipment
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Aalto Neuroimaging Infrastructure
Veikko Jousmäki (Manager)
School of ScienceFacility/equipment: Facility
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