Img2EEG: A Scalable and Interpretable Encoding Framework for Simulating Human EEG Responses to Visual Inputs.

Lu Z, Golomb JD

DOI: 10.64898/2026.09.16.751610
Published: 2026 Sep 18
Container: bioRxiv : the preprint server for biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.64898/2026.09.16.751610,
  title = {Img2EEG: A Scalable and Interpretable Encoding Framework for Simulating Human EEG Responses to Visual Inputs.},
  author = {Lu Z and Golomb JD},
  year = {2026},
  journal = {bioRxiv : the preprint server for biology},
  doi = {10.64898/2026.09.16.751610},
  url = {https://doi.org/10.64898/2026.09.16.751610}
}

RIS

TY  - JOUR
TI  - Img2EEG: A Scalable and Interpretable Encoding Framework for Simulating Human EEG Responses to Visual Inputs.
AU  - Lu Z
AU  - Golomb JD
PY  - 2026
JO  - bioRxiv : the preprint server for biology
DO  - 10.64898/2026.09.16.751610
UR  - https://doi.org/10.64898/2026.09.16.751610
ER  -

APA

Z, L., & JD, G. (2026). Img2EEG: A Scalable and Interpretable Encoding Framework for Simulating Human EEG Responses to Visual Inputs.. bioRxiv : the preprint server for biology. https://doi.org/10.64898/2026.09.16.751610

Source records

pubmed · retrieved 2026-09-25T01:27:44.452Z