1 code implementation • 14 Aug 2023 • Guy Gaziv, Michael J. Lee, James J. DiCarlo
Because human category reports (aka human percepts) are thought to be insensitive to those same small-norm perturbations -- and locally stable in general -- this argues that ANNs are incomplete scientific models of human visual perception.
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.
1 code implementation • 9 Jun 2021 • Guy Gaziv, Michal Irani
This is applied to both: (i) the small number of images presented to subjects in an fMRI scanner (images for which we have fMRI recordings - referred to as "paired" data), and (ii) a very large number of natural images with no fMRI recordings ("unpaired data").
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.
no code implementations • 1 Jul 2019 • Guy Gaziv
We applied our method to the Algonauts2019 fMRI and MEG challenges.