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A platform-independent data interface and database for neuroscience physiology and imaging experiments. Neuroscience Data Interface - A means of specifying and accessing neuroscience data. Available at https://github.com/VH-Lab/NDI-matlab. It is assumed that the function ndi_Init.m is run at startup. Please add this to your startup.m file. (If you use the http://github.com/VH-Lab/vhlab_vhtools distribution, it will be run automatically.).

An Integrated MATLAB Toolbox for Graph Theoretical Analysis of Task-Related Functional Dynamics. Graph Theoretical Analysis of Task-based Functional Dynamics Toolbox. Graph theoretical analysis of task-related functional dynamics (GAT-FD) is a systematically integrated user-friendly toolkit to characterize the functional dynamics for task-related fMRI data based on graph theoretical techniques. Researchers can use this toolkit to 1) implement slide-window approach for analyzing functional connectivity dynamics; 2) generate task condition files based on the experimental task, 3) calculate functional network topological measures and examine their dynamics, and 4) visually validate the results.

The Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED).

Data architecture and visualization for a large-scale neuroscience collaboration. Database for experimental neuroscience laboratories. Documentation: http://alyx.readthedocs.io. The setup.py script sets up postgres (it creates the database and postgres user), it sets up the alyx/alyx/settings_secret.py file with the postgres database connection information, it creates the Python virtual environment with the dependencies (including django), and it creates all the required SQL tables. Note that the postgres username and password are distinct from Alyx (Django) users and password. There is only one postgres user that is only used locally for maintenance task or by Django