A Parameter-efficient Multi-subject Model for Predicting fMRI Activity

4 August 2023

Papers citing "A Parameter-efficient Multi-subject Model for Predicting fMRI Activity"

5 / 5 papers shown

Title
Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli Valentyn Piskovskyi Riccardo Chimisso Sabrina Patania Tom Foulsham Giuseppe Vizzari Dimitri Ognibene 23 0 0 06 Oct 2024
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data Paul S. Scotti Mihir Tripathy Cesar Kadir Torrico Villanueva Reese Kneeland Tong Chen ... Charan Santhirasegaran Jonathan Xu Thomas Naselaris Kenneth A. Norman Tanishq Mathew Abraham 32 35 0 17 Mar 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 286 5,723 0 29 Apr 2021
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 201 14,190 0 07 Oct 2016