An fMRI visual neural encoding method with multimodal large language model
Authors:
- Shuxiao MaSMShuxiao Ma
- Linyuan WangLWLinyuan Wang
- Libin HouLHLibin Hou
- Senbao HouSHSenbao Hou
- Bin YanBin Yan
- 2 July 2025
- journal article
- Published by Elsevier in Knowledge-Based Systems
- Vol. 326
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (62106285)
This publication has 22 references indexed in Scilit:
- EVA-02: A visual representation for neon genesisImage and Vision Computing, 2024
- Coal resources under carbon peak: Segmentation of massive laser point clouds for coal mining in underground dusty environments using integrated graph deep learning modelEnergy, 2023
- Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortexNeuroImage, 2019
- Transferring and generalizing deep-learning-based neural encoding models across subjectsNeuroImage, 2018
- Deep recurrent neural network reveals a hierarchy of process memory during dynamic natural visionHuman Brain Mapping, 2018
- Generic decoding of seen and imagined objects using hierarchical visual featuresNature Communications, 2017
- Seeing it all: Convolutional network layers map the function of the human visual systemNeuroImage, 2017
- Natural speech reveals the semantic maps that tile human cerebral cortexNature, 2016
- Identifying natural images from human brain activityNature, 2008
- fMRI of human visual cortexNature, 1994