Article

st-DenseViT: A Weakly Supervised Spatiotemporal Vision Transformer for Dense Prediction of Dynamic Brain Networks

2024-11-28

Abstract excerpt

<h4>Objective: </h4> Modeling dynamic neuronal activity within brain networks enables the precise tracking of rapid temporal fluctuations across different brain regions. However, current approaches in computational neuroscience fall short of capturing and representing the spatiotemporal dynamics within each brain network. We developed a novel weakly supervised spatiotemporal dense prediction model capable of gener...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 030f085f-0554-560e-ad9f-177767f761fb
DOI: 10.1101/2024.11.28.625914

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

st-DenseViT: A Weakly Supervised Spatiotemporal Vision Transformer for Dense Prediction of Dynamic Brain NetworksDOI 10.1101/2024.11.28.625914Read

BrainLM: A foundation model for brain activity recordingsSemantic proximity Read

Representation Learning of Resting State fMRI with Variational AutoencoderSemantic proximity Read

Gray Matters: An Efficient Vision Transformer GAN Framework for Predicting Functional Network Connectivity Biomarkers from Brain StructureSemantic proximity Read

NEuRT: A Transformer-Based Model for Explainable Neuronal Activity AnalysisSemantic proximity Read

A deep residual model for characterization of 5D spatiotemporal network dynamics reveals widespread spatiodynamic changes in schizophreniaSemantic proximity Read

Providing context: Extracting non-linear and dynamic temporal motifs from brain activitySemantic proximity Read

Predicting brain activity using TransformersSemantic proximity Read

Interpretable Transformer Models for rs-fMRI Epilepsy Classification and Biomarker DiscoverySemantic proximity Read

Next-Gen ST-CNN: A Lightweight Spatiotemporal Deep Learning Model for Accurate and Fast Brain Tumor DetectionSemantic proximity Read

osl-dynamics: A toolbox for modelling fast dynamic brain activitySemantic proximity Read

Intelligent assessment method for mental disordersby integrating EEG and MRI multimodalhigh-dimensional dataSemantic proximity Read

Towards a general-purpose foundation model for fMRI analysisSemantic proximity Read