504 citations · 645 across the 8 of their papers we have counts for
8 papers
Interactive Web Application for Exploring Matrices of Neural Connectivity
David J. Caldwell, Jing Wu, Kaitlyn Casimo +2
We present here a browser-based application for visualizing patterns of connectivity in 3D stacked data matrices with large numbers of pairwise relations. Visualizing a connectivit…
Electrocorticographic Dynamics Predict Visually Guided Motor Imagery of Grasp Shaping
Jing Wu, Kaitlyn Casimo, David J. Caldwell +2
Identification of intended movement type and movement phase of hand grasp shaping are critical features for the control of volitional neuroprosthetics. We demonstrate that neural d…
Cortical Brain Computer Interface for Closed-Loop Deep Brain Stimulation
Jeffrey A. Herron, Margaret C. Thompson, Timothy Brown +3
Essential Tremor is the most common neurological movement disorder. This progressive disease causes uncontrollable rhythmic motions -most often affecting the patient's dominant upp…
Multistep Model for Predicting Upper-Limb 3D Isometric Force Application from Pre-Movement Electrocorticographic Features
Jing Wu, Benjamin R. Shuman, Bingni W. Brunton +4
Neural correlates of movement planning onset and direction may be present in human electrocorticography in the signal dynamics of both motor and non-motor cortical regions. We use…
Natural movement with concurrent brain-computer interface control induces persistent dissociation of neural activity
Luke Bashford, Jing Wu, Devapratim Sarma +3
As Brain-computer interface (BCI) technology develops it is likely it may be incorporated into protocols that complement and supplement existing movements of the user. Two possible…
Unsupervised decoding of long-term, naturalistic human neural recordings with automated video and audio annotations
Nancy X. R. Wang, Jared D. Olson, Jeffrey G. Ojemann +2
Fully automated decoding of human activities and intentions from direct neural recordings is a tantalizing challenge in brain-computer interfacing. Most ongoing efforts have focuse…