Retrieving and reconstructing conceptually similar images from fMRI with latent diffusion models and a neuro-inspired brain decoding model - IOPscience
Published 28 June 2024 • © 2024 The Author(s). Published by IOP Publishing Ltd Journal of Neural Engineering, Volume 21, Number 4 Citation Matteo Ferrante et al 2024 J. Neural Eng. 21 046001 DOI 10.1088/1741-2552/ad593c
Retrieving and reconstructing conceptually similar images from fMRI with latent diffusion models and a neuro-inspired brain decoding model - IOPscience Journal of Neural Engineering Purpose-led Publishing is a coalition of three not-for-profit publishers in the field of physical sciences: AIP Publishing, the American Physical Society and IOP Publishing. Together, as publishers that will always put purpose above profit, we have defined a set of industry standards that underpin high-quality, ethical scholarly communications. We are proudly declaring that science is our only shareholder. Paper &b
Explore this link on the map →saved by
related reading
- GitHub - nkmjm/mental_img_recon: Mental image reconstruction from human brain activity · GitHubgithub.com
- Sélection de votre établissementwww-sciencedirect-com.ezproxy.universite-paris-saclay.fr
- [2305.18274] Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priorsarxiv.org
- [2506.06898] NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imageryarxiv.org
- MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Datamedarc-ai.github.io
- Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priorsmedarc-ai.github.io
- MinD-Vismind-vis.github.io
- Attentionally modulated subjective images reconstructed from brain activity | bioRxivbiorxiv.org
- Frontiers | Natural Image Reconstruction From fMRI Using Deep Learning: A Surveyfrontiersin.org
- Frontiers | End-to-End Deep Image Reconstruction From Human Brain Activityfrontiersin.org
- Generative modelling in latent space – Sander Dielemansander.ai
- What are Diffusion Models? | Lil'Loglilianweng.github.io