Brain decoding: toward real-time reconstruction of visual perception

arXiv:2310.19812v2 Announce Type: replace-cross
Abstract: In the past five years, the use of generative and foundational AI systems has greatly improved the decoding of brain activity. Visual perception, in particular, can now be decoded from functional Magnetic Resonance Imaging (fMRI) with remarkable fidelity. This neuroimaging technique, however, suffers from a limited temporal resolution ($\approx$0.5 Hz) and thus fundamentally constrains its real-time usage. Here, we propose an alternative approach based on magnetoencephalography (MEG), a neuroimaging device capable of measuring brain activity …

abstract ai systems arxiv brain brain activity cs.ai cs.lg decoding eess.iv fidelity five fmri functional generative however imaging neuroimaging perception q-bio.nc real-time systems temporal type visual