Alljoined1 -- A dataset for EEG-to-Image decoding
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Abstract (arXiv)
We present Alljoined1, a dataset built specifically for EEG-to-Image decoding. Recognizing that an extensive and unbiased sampling of neural responses to visual stimuli is crucial for image reconstruction efforts, we collected data from 8 participants looking at 10,000 natural images each. We have currently gathered 46,080 epochs of brain responses recorded with a 64-channel EEG headset. The dataset combines response-based stimulus timing, repetition between blocks and sessions, and diverse image classes with the goal of improving signal quality. For transparency, we also provide data quality scores. We publicly release the dataset and all code at https://linktr.ee/alljoined1.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 18 of its 50 references that are in the map. First posted on arXiv 8 Apr 2024.
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18 of 50 references.
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6 more
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Citing papers per year: 2024: 2.
2 papers.