-
Notifications
You must be signed in to change notification settings - Fork 141
Description
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_n400 -
Paradigm: 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:
- Congruent: “She spread the bread with butter.”
- Incongruent: “She spread the bread with socks.”
-
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:
- 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.