Brain-imager: a multimodal framework for image reconstruction and captioning from human brain activity
This work provides a novel perspective on the relationship between text and image semantics and the visual pathways of the human brain, with potential applications in downstream tasks such as brain-computer interfaces. Additionally, our code is publicly available at https://github.com/songqianyi01/Brain-Imager .
Authors
- Meng Lü (ORCID: https://orcid.org/0000-0002-6850-581X)
- Zengyu Song
- Jia-Yang Lu (ORCID: https://orcid.org/0000-0002-5573-9596)
Institutions
- Foshan University (CN)
- Northeastern University (CN)
Publication Details
- Journal
- Brain Informatics
- Published
- 2025-11-27
- DOI
- https://doi.org/10.1186/s40708-025-00282-x
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province