I propose adding a new ERP experiment to the repo that elicits the N400 component, which reflects semantic processing and the brain’s response to unexpected or incongruent words in language.
Summary of the Feature
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Experiment Name: language_n400
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Paradigm: Sentence reading task using semantic congruity manipulation
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Design: Present sentences where the final word is either congruent (makes sense) or incongruent (semantically unexpected). For example:
- Congruent: “She spread the bread with butter.”
- Incongruent: “She spread the bread with socks.”
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ERP Component: N400 — a negative-going wave peaking around 400 ms after the critical word, strongest at central-parietal electrodes (e.g., Cz, Pz).
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Use Case: Useful for education, ERP training, and research on semantic processing. Also supports comparison with other ERP components like the P300.
Dataset Reference (Public, External)
To support this experiment, I plan to reference the [Dryad N400 Sentence Stimulus Dataset], which is released under the Creative Commons Zero (CC0) license (public domain).
This dataset provides:
- Sentence stimuli with semantic congruity/incongruity conditions
- Public EEG recordings from a validated semantic violation task
- A benchmark for ERP extraction and validation
Note: I will not re-upload the dataset. Instead:
- The dataset will be cited in the experiment README
- A direct link to the Dryad DOI will be included
- The dataset may be referenced in the analysis notebook for optional benchmarking or comparison
If you'd like to see this feature implemented, add a 👍 reaction to this post.
I propose adding a new ERP experiment to the repo that elicits the N400 component, which reflects semantic processing and the brain’s response to unexpected or incongruent words in language.
Summary of the Feature
Experiment Name:
language_n400Paradigm: Sentence reading task using semantic congruity manipulation
Design: Present sentences where the final word is either congruent (makes sense) or incongruent (semantically unexpected). For example:
ERP Component: N400 — a negative-going wave peaking around 400 ms after the critical word, strongest at central-parietal electrodes (e.g., Cz, Pz).
Use Case: Useful for education, ERP training, and research on semantic processing. Also supports comparison with other ERP components like the P300.
Dataset Reference (Public, External)
To support this experiment, I plan to reference the [Dryad N400 Sentence Stimulus Dataset], which is released under the Creative Commons Zero (CC0) license (public domain).
This dataset provides:
Note: I will not re-upload the dataset. Instead:
If you'd like to see this feature implemented, add a 👍 reaction to this post.