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Progress towards decoding visual imagery via fNIRS #MindEye

Progress Towards Decoding Visual Imagery via fNIRS
We demonstrate the possibility of reconstructing images from fNIRS brain activity and start building a prototype to match the required specs. By training an image reconstruction model on downsampled fMRI data, we discovered that cm-scale spatial resolution is sufficient for image generation. We obtained 71% retrieval accuracy with 1-cm resolution, compared to 93% on the full-resolution fMRI, and 20% with 2-cm resolution. With simulations and high-density tomography, we found that time-domain fN…

Progress Towards Decoding Visual Imagery via fNIRS
Michel Adamic (McGill University), Wellington Avelino (McGill University), Anna Brandenberger (Massachusetts Institute of Technology), Bryan Chiang (Stanford University), Hunter Davis (McGill University), Stephen Fay (McGill University), Andrew Gregory (McGill University), Aayush Gupta (McGill University), Raphael Hotter (McGill University), Grace Jiang (McGill University), Fiona Leng (McGill University), Stephen Polcyn (McGill Univers…

Progress Towards Decoding Visual Imagery via fNIRS
We demonstrate the possibility of reconstructing images from fNIRS brain activity and start building a prototype to match the required specs. By training an image reconstruction model on downsampled fMRI data, we discovered that cm-scale spatial resolution is sufficient for image generation. We obtained 71% retrieval accuracy with 1-cm resolution, compared to 93% on the full-resolution fMRI, and 20% with 2-cm resolution. With simulations and high-density tomography, we found that time-domain fN…

🔊 #NowPlaying on BBCRadio2's #OJBorg
Roger Sanchez:
🎵 Another Chance
#RogerSanchez
https://open.spotify.com/track/08fMRujpKhEDTanKN9l2ud
https://scension.bandcamp.com/track/roger-sanchez-another-chance-scension-edit

🔊 #NowPlaying on BBCRadio2's #OJBorg
Roger Sanchez:
🎵 Another Chance
#RogerSanchez
https://open.spotify.com/track/08fMRujpKhEDTanKN9l2ud
https://scension.bandcamp.com/track/roger-sanchez-another-chance-scension-edit

This https://arxiv.org/abs/2406.07662 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Progress Towards Decoding Visual Imagery via fNIRS
We demonstrate the possibility of reconstructing images from fNIRS brain activity and start building a prototype to match the required specs. By training an image reconstruction model on downsampled fMRI data, we discovered that cm-scale spatial resolution is sufficient for image generation. We obtained 71% retrieval accuracy with 1-cm resolution, compared to 93% on the full-resolution fMRI, and 20% with 2-cm resolution. With simulations and high-density tomography, we found that time-domain fN…

A Novel Diamond-like Carbon based photocathode for PICOSEC Micromegas detector
X. Wang, Y. Zhou, R. Aleksan, Y. Angelis, J. Bortfeldt, F. Brunbauer, M. Brunoldi, E. Chatzianagnostou, J. Datta, K. Degmelt, G. Fanourakis, D. Fiorina, K. J. Floethner, M. Gallinaro, F. Garcia, I. Giomataris, K. Gnanvo, F. J. Iguaz, D. Janssens, A. Kallitsopoulou, M. Kovacic, B. Kross, P. Legou, M. Lisowska, J. Liu, J. Liu, I. Maniatis, J. McKisson, Y. Meng, H. Muller, E. Oliveri, G. Orlandini, A. Pandey, T…

A Novel Diamond-like Carbon based photocathode for PICOSEC Micromegas detector
The PICOSEC Micromegas (MM) is a Cherenkov photodetector based on the MM detector operating in a two-stage amplification mode. Prototypes equipped with a cesium iodide (CsI) photocathode have shown promising time resolutions as low as 24 picoseconds (ps) for Minimum Ionizing Particles. However, due to the high hygroscopicity and susceptibility to ion bombardment of the CsI photocathode, alternative photocathode materials such as pure aluminum, pure chromium, as well as Diamond-like Carbon (DLC)…

This https://arxiv.org/abs/2406.07662 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Progress Towards Decoding Visual Imagery via fNIRS
We demonstrate the possibility of reconstructing images from fNIRS brain activity and start building a prototype to match the required specs. By training an image reconstruction model on downsampled fMRI data, we discovered that cm-scale spatial resolution is sufficient for image generation. We obtained 71% retrieval accuracy with 1-cm resolution, compared to 93% on the full-resolution fMRI, and 20% with 2-cm resolution. With simulations and high-density tomography, we found that time-domain fN…

🔊 #NowPlaying on #BBC6Music's #FocusBeats
Gotts Street Park:
🎵 Ozu
#GottsStreetPark
https://open.spotify.com/track/0fym4mro3A1876ysJ7ulJQ