alljoined.com

Building a window to the mind

Alljoined is creating a future where people can better understand themselves and connect with technology. Our advanced AI models extract semantic content and thought patterns from brain signals Using large-scale neural datasets and cutting edge ML research, we’re building models that decode images, emotion, and eventually complex cognitive processes. Our research is broad: spanning from semantic understanding and abstract reasoning to inner speech and intentional planning. Alljoined pushes the frontier of neural decoding with leading peer-reviewed papers Read our Blog Open paper…

saved by

• Aileen Luo
• Asher P
• Lydia Nottingham
• Mackay G
• Daniel Kiss
• Malaika Aiyar
• Clo Wang
• Chris Shi

related reading

• Toward accessible, real-time brain decoding: Introducing ENIGMA | Alljoined Blogalljoined.com
• AI to Interpret Your Mindjonathanxu.com
• Alljoined1 -- A dataset for EEG-to-Image decodingarxiv.org
• Alljoined Blogalljoined.com
• Semantic reconstruction of continuous language from non-invasive brain recordings | Nature Neurosciencenature.com
• MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Datamedarc-ai.github.io
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• Decoding Emotion from EEG: Introducing NOVA | Alljoined Blogalljoined.com
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• GitHub - nkmjm/mental_img_recon: Mental image reconstruction from human brain activity · GitHubgithub.com