Web-based visualization tools for neurological data.
In-house computational biology workflows at Columbia Neurology
#计算机科学#A curated list of awesome deep learning applications in the field of neurological image analysis
Toolkit to asses speech impairments in patients with neurological disorders
EyeLoop is a Python 3-based eye-tracker tailored specifically to dynamic, closed-loop experiments on consumer-grade hardware.
#计算机科学#Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute
This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.
micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
#计算机科学#Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with...