nkmjm/mental_img_recon: Mental image reconstruction from human brain activity
github.com · 269 words · saved by 1 readers
Mental image reconstruction from human brain activity - nkmjm/mental_img_recon
Mental image reconstruction This is a gitHub repository for our recent work "Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation." Project page on this work is here . Demo code on Google Colab is here . You can reproduce our results without any cumbersome installation. Abstract In this study, we present a machine learning method for visualizing subjective images in the human mind based on brain activity. Although many previous studies have demonstrated that images observed by humans can be reconstructed from
saved by
related reading
- Retrieving and reconstructing conceptually similar images from fMRI with latent diffusion models and a neuro-inspired brain decoding model - IOPscienceiopscience.iop.org
- Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priorsmedarc-ai.github.io
- [2305.18274] Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priorsarxiv.org
- Toward accessible, real-time brain decoding: Introducing ENIGMA | Alljoined Blogalljoined.com
- AI to Interpret Your Mindjonathanxu.com
- MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Datamedarc-ai.github.io
- Semantic reconstruction of continuous language from non-invasive brain recordings | Nature Neurosciencenature.com
- Stable Diffusion with Brain Activitysites.google.com
- Alljoined | We’re Hiringalljoined.com
- [2506.06898] NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imageryarxiv.org
- GitHub - mazabou/awesome-neurofm: A curated list of awesome neuro-foundation modelsgithub.com
- Attentionally modulated subjective images reconstructed from brain activity | bioRxivbiorxiv.org