Machine learning for NeuroImaging in Python
A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
Frequency domain estimation and functional and directed connectivity analysis tools for electrophysiological data
The Brain Activity Flow (Actflow) Toolbox. Tools to quantify the relationship between connectivity and task activity through network simulations and machine learning prediction. Helps determine how connections contribute to specific brain functions.
Napari-based 3D cell segmentation software using machine learning predictions as inputs, especially for EM image stacks of brains
A differentiable program for mapping brain function
No description available
