Our lab develops open-source tools for brain network modeling, data visualization, and AI-assisted therapy design. All tools are freely available and can be downloaded from the links below.
Visit our GitHub Repository for more details and to access all our open-source tools and resources.
Individual-Systematic Approach for tDCS Analysis - Network Based
Created for network-based distribution of stimulation intensity in transcranial direct current stimulation (tDCS) analysis.
Status: Work in Progress
Individual-Systematic Approach for tDCS Analysis - MNI Atlas
Open-source software that aids tDCS montage selection for individual head models/subjects using the AAL (Automated Anatomical Labeling) Atlas.
Downloads: 100+ times
Individual-Systematic Approach for tDCS Analysis - Talairach
Open-source software for tDCS montage selection for individual head models/subjects using the Talairach Atlas. Provides personalized transcranial direct current stimulation analysis.
Downloads: >1500 times - Highest Downloaded Toolbox
Systematic Approach for tDCS Analysis - Standard MNI
Open-source software for tDCS montage selection for standard MNI brain head models. Enables systematic analysis of transcranial direct current stimulation parameters.
Downloads: >700 times
Framework for Personalizing Resting-State fMRI Analysis
Developed the framework to individualize resting-state fMRI analysis. This approach improves prediction accuracy of behavioral measures from functional connectivity data.
Referenced in 50+ papers