2 papers
eess.IV2024
Training Compute-Optimal Vision Transformers for Brain Encoding
Sana Ahmadi, Francois Paugam, Tristan Glatard +1
The optimal training of a vision transformer for brain encoding depends on three factors: model size, data size, and computational resources. This study investigates these three pi…
cs.LG2024
Scaling up ridge regression for brain encoding in a massive individual fMRI dataset
Sana Ahmadi, Pierre Bellec, Tristan Glatard
Brain encoding with neuroimaging data is an established analysis aimed at predicting human brain activity directly from complex stimuli features such as movie frames. Typically, th…