Grants per year
Personal profile
Research Interests
The three fundamental goals of my research are the following: 1) To understand the nature of the brain's own signals -- the "language" in which movement commands are expressed by neurons in the central nervous system. 2) To understand the mechanisms by which these signals are produced -- the nature of the connections among networks of neurons, and the transformations that occur in the signals as they propagate throughout these networks. 3) To develop applications of these basic principles that could be of therapeutic value to human patients. Much of this work is done in collaboration with students and faculty from the Biomedical Engineering Department and the Interdepartmental Neuroscience Program (NUIN).
Training Experience
| 1992 | Postdoctoral Fellowship, University of Nijmegen |
Education/Academic qualification
PhD, Northwestern University
… → 1990
Research interests
- Movement Control
- Neural Engineering
- Neuroscience
- Spinal Cord Injury
Fingerprint Dive into the research topics where Lee E Miller is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 38 Similar Profiles
Brain-Computer Interfaces
Medicine & Life Sciences
Neurons
Medicine & Life Sciences
Motor Cortex
Medicine & Life Sciences
Muscles
Medicine & Life Sciences
Extremities
Medicine & Life Sciences
Haplorhini
Medicine & Life Sciences
Hand
Medicine & Life Sciences
Brain
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants 2002 2024
An Intracortical Brain-Computer Interface Model for High-Efficiency Development of Closed-Loop Neural Decoding Algorithms.
Florida International University, National Institute of Neurological Disorders and Stroke
8/15/19 → 5/31/20
Project: Research project
Brain computer interface
Decoding
User interfaces
Neurons
Statistics
Optimizing the restoration and rehabilitation of function using cortically-controlled FES following SCI
Miller, L. E., Tresch, M. C. & Tysseling, V. M.
National Institute of Neurological Disorders and Stroke
7/1/19 → 4/30/24
Project: Research project
Spinal Cord Stimulation
Spinal Cord Injuries
Electric Stimulation
Rehabilitation
Muscles
Stable neural interfaces through artificial intelligence-based manifold discovery
Emory University, Defense Advanced Research Projects Agency (DARPA)
4/19/19 → 10/18/19
Project: Research project
Artificial Intelligence
Motor Cortex
Primates
Population
Collaborative Research: NCS-FO: Discovering dynamics in massive-scale neural datasets using machine learning
10/1/18 → 9/30/21
Project: Research project
Learning systems
Muscle
Brain
Primates
Scalable Electrode Technology for High Resolution Chronic Recording of Brain
University of Texas at Dallas, National Institute of Neurological Disorders and Stroke
9/1/18 → 8/31/23
Project: Research project
Amorphous silicon
Silicon carbide
Brain
Electrodes
Experiments
Research Output 1984 2019
Adversarial domain adaptation for stable brain-machine interfaces
Farshchian, A., Gallego, J. A., Miller, L. E., Solla, S. A., Cohen, J. P. & Bengio, Y., Jan 1 2019.Research output: Contribution to conference › Paper
Brain
brain
Probability distributions
Neurons
Time series
1
Citation
(Scopus)
A muscle-activity-dependent gain between motor cortex and emg
Naufel, S., Glaser, J. I., Kording, K. P., Perreault, E. & Miller, L. E., Jan 1 2019, In : Journal of neurophysiology. 121, 1, p. 61-73 13 p.Research output: Contribution to journal › Article
Motor Cortex
Brain-Computer Interfaces
Muscles
Contact Lenses
Macaca mulatta
Cortically Controlled FES for Restoration and Rehabilitation of Function Following SCI in Rats
Barroso, F. O., Yoder, B., Wallner, J., Jantz, M., Tostado, P., Pei, E., Tysseling, V. M., Miller, L. E. & Tresch, M. C., Jan 1 2019, Biosystems and Biorobotics. Springer International Publishing, p. 931-934 4 p. (Biosystems and Biorobotics; vol. 21).Research output: Chapter in Book/Report/Conference proceeding › Chapter
Patient rehabilitation
Restoration
Rats
Muscle
Electrodes
Decoding neural activity to predict rat locomotion using intracortical and epidural arrays
Barroso, F. O., Yoder, B., Tentler, D., Wallner, J. J., Kinkhabwala, A. A., Jantz, M. K., Flint, R. D., Tostado, P. M., Pei, E., Satish, A. D. R., Brodnick, S. K., Suminski, A. J., Williams, J. C., Miller, L. E. & Tresch, M. C., Jan 1 2019, In : Journal of Neural Engineering. 16, 3, 036005.Research output: Contribution to journal › Article
Locomotion
Decoding
Rats
Hindlimb
Brain-Computer Interfaces
Neural networks for modeling neural spiking in S1 cortex
Lucas, A., Tomlinson, T., Rohani, N., Chowdhury, R., Solla, S. A., Katsaggelos, A. K. & Miller, L. E., Jan 24 2019, In : Frontiers in Systems Neuroscience. 13, 13.Research output: Contribution to journal › Article
Open Access
Touch
Biomechanical Phenomena
Neurons
Proprioception
Neural Networks (Computer)