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Brain-Machine Interfaces: Combining Decoder Design and Neural Adaptation
Using neural decoding to study object and action recognition in the human brain
Archive: Decoding Intentions and Encoding Sensations: The Science of Brain-Computer Interfacing
Do deep learning latent spaces resemble human brain representations
MindEye: fMRI-to-Image with Contrastive Learning and Diffusion Priors (Journal Club)
Latent Diffusion Images from Human Vision
Brain Decoding using Diffusion Models
Providing a Sense of Touch through a Brain-Machine Interface
Tutorial: Using Decoding to Understand Neural Algorithms
Dream Diffusion AI To Generate Images Based on People's Brain Activity EEG Thoughts to Images
Decoding Multisensory Attention from Electroencephalography for Use in a Brain-Computer Interface
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Last Updated: August 18, 2026
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