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Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers
v1v2 (latest)

Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers

7 October 2024
Andrew F. Luo
Jacob Yeung
Rushikesh Zawar
Shaurya Dewan
Margaret M. Henderson
Leila Wehbe
Michael J. Tarr
ArXiv (abs)PDFHTML

Papers citing "Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers"

4 / 4 papers shown
Title
Transformer brain encoders explain human high-level visual responses
Transformer brain encoders explain human high-level visual responses
Hossein Adeli
Minni Sun
N. Kriegeskorte
232
0
0
22 May 2025
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
Muquan Yu
Mu Nan
Hossein Adeli
Jacob S. Prince
John A. Pyles
Leila Wehbe
Margaret M. Henderson
Michael J. Tarr
Andrew F. Luo
MedImViT
88
0
0
21 May 2025
Register and CLS tokens yield a decoupling of local and global features in large ViTs
Register and CLS tokens yield a decoupling of local and global features in large ViTs
Alexander Lappe
M. Giese
63
1
0
09 May 2025
LaVCa: LLM-assisted Visual Cortex Captioning
LaVCa: LLM-assisted Visual Cortex Captioning
Takuya Matsuyama
Shinji Nishimoto
Yu Takagi
135
1
0
20 Feb 2025
1