no code implementations • 17 Apr 2024 • Navve Wasserman, Roman Beliy, Roy Urbach, Michal Irani
Combining Functional MRI (fMRI) data across different subjects and datasets is crucial for many neuroscience tasks.
no code implementations • 7 Jun 2022 • Ganit Kupershmidt, Roman Beliy, Guy Gaziv, Michal Irani
Reconstructing natural videos from fMRI brain recordings is very challenging, for two main reasons: (i) As fMRI data acquisition is difficult, we only have a limited amount of supervised samples, which is not enough to cover the huge space of natural videos; and (ii) The temporal resolution of fMRI recordings is much lower than the frame rate of natural videos.
2 code implementations • NeurIPS 2019 • Roman Beliy, Guy Gaziv, Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani
Unfortunately, acquiring sufficient "labeled" pairs of {Image, fMRI} (i. e., images with their corresponding fMRI responses) to span the huge space of natural images is prohibitive for many reasons.