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  • Publications
    • Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces
    • Sparse neural networks enable low-power, implantable neural interfaces
    • A novel virtual robotic platform for controlling six degrees of freedom assistive devices with body-machine interfaces
    • Reliability and minimal detectable change of stiffness and other mechanical properties of the ankle joint in standing and walking
    • Artificial neural network for brain-machine interface consistently produces more naturalistic finger movements than linear methods
    • Functional Electrical Stimulation and Brain-Machine Interfaces for Simultaneous Control of Wrist and Finger Flexion
    • Balancing memorization and generalization in RNNs for high performance brain-machine Interfaces
    • Breaking the barriers to designing online experiments: A novel open-source platform for supporting procedural skill learning experiments
    • Error detection and correction in intracortical brain–machine interfaces controlling two finger groups
    • Motor slacking during resisted treadmill walking: Can visual feedback of kinematics reduce this behavior?
  • Projects
    • Explainable deep-learning for brain-machine interfaces
    • Brain and muscle synergies for brain-machine interface decoding
    • Ankle impedance reliability
    • Open-source web application for motor learning research
    • High-Five: open-source myoelectric upper-limb prosthesis
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Motor slacking during resisted treadmill walking: Can visual feedback of kinematics reduce this behavior?

Jan 1, 2021·
Edward P. Washabaugh
Luis Cubillos, PhD
Luis Cubillos, PhD
,
Alexandra C. Nelson
,
Belinda T. Cargile
,
Edward S. Claflin
,
Chandramouli Krishnan
· 0 min read
Cite URL
Type
Journal article
Publication
Gait & posture
Last updated on Jan 1, 2021
Luis Cubillos, PhD
Authors
Luis Cubillos, PhD
Neuroengineer
← Error detection and correction in intracortical brain–machine interfaces controlling two finger groups Jan 1, 2023

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