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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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Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces

Dec 31, 2024·
Luis Cubillos, PhD
Luis Cubillos, PhD
,
Guy Revach
,
Matthew J. Mender
,
Joseph T. Costello
,
Hisham Temmar
,
Aren Hite
,
Diksha Zutshi
,
Dylan M. Wallace
,
Xiaoyong Ni
,
Madison M. Kelberman
· 0 min read
Cite URL
Type
Journal article
Publication
Accepted at NeurIPS 2024
Last updated on Dec 31, 2024
Luis Cubillos, PhD
Authors
Luis Cubillos, PhD
Neuroengineer

Sparse neural networks enable low-power, implantable neural interfaces Dec 15, 2024 →

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