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Frontiers in Neuroscience
|
July 28, 2020
Functional MRI Signal Complexity Analysis Using Sample Entropy
Maysam Nezafati, Hisham Temmar, Shella D Keilholz
Biorxiv : the Preprint Server for Biology
|
June 9, 2023
Balancing Memorization and Generalization in RNNs for High Performance Brain-Machine Interfaces
Joseph T Costello, Hisham Temmar, Luis H Cubillos, et al.
Nature Communications
|
November 13, 2022
Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoder
Matthew S Willsey, Samuel R Nason-Tomaszewski, Scott R Ensel, et al.
Biorxiv : the Preprint Server for Biology
|
February 20, 2025
Exploring Synergies in Brain-Machine Interfaces: Compression vs. Performance
Luis H Cubillos, Madison M Kelberman, Matthew J Mender, et al.
Restorative Neurology and Neuroscience
|
June 22, 2026
Exploring Synergies in Brain-Machine Interfaces: Compression vs. Performance
Luis H Cubillos, Madison M Kelberman, Matthew J Mender, et al.
Elife
|
June 7, 2023
The impact of task context on predicting finger movements in a brain-machine interface
Matthew J Mender, Samuel R Nason-Tomaszewski, Hisham Temmar, et al.
Biorxiv : the Preprint Server for Biology
|
March 18, 2024
Artificial neural network for brain-machine interface consistently produces more naturalistic finger movements than linear methods
Hisham Temmar, Matthew S Willsey, Joseph T Costello, et al.
Journal of Neural Engineering
|
August 11, 2023
Error detection and correction in intracortical brain-machine interfaces controlling two finger groups
Dylan M Wallace, Miri Benyamini, Samuel R Nason-Tomaszewski, et al.
Journal of Neural Engineering
|
June 17, 2025
Investigating the benefits of artificial neural networks over linear approaches to BMI decoding
Hisham Temmar, Matthew S Willsey, Joseph T Costello, et al.
Journal of Neural Engineering
|
May 25, 2022
A low-power communication scheme for wireless, 1000 channel brain-machine interfaces
Joseph T Costello, Samuel R Nason-Tomaszewski, Hyochan An, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Frontiers in Neuroscience
|
July 28, 2020
Functional MRI Signal Complexity Analysis Using Sample Entropy
Maysam Nezafati, Hisham Temmar, Shella D Keilholz
Biorxiv : the Preprint Server for Biology
|
June 9, 2023
Balancing Memorization and Generalization in RNNs for High Performance Brain-Machine Interfaces
Joseph T Costello, Hisham Temmar, Luis H Cubillos, et al.
Nature Communications
|
November 13, 2022
Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoder
Matthew S Willsey, Samuel R Nason-Tomaszewski, Scott R Ensel, et al.
Biorxiv : the Preprint Server for Biology
|
February 20, 2025
Exploring Synergies in Brain-Machine Interfaces: Compression vs. Performance
Luis H Cubillos, Madison M Kelberman, Matthew J Mender, et al.
Restorative Neurology and Neuroscience
|
June 22, 2026
Exploring Synergies in Brain-Machine Interfaces: Compression vs. Performance
Luis H Cubillos, Madison M Kelberman, Matthew J Mender, et al.
Elife
|
June 7, 2023
The impact of task context on predicting finger movements in a brain-machine interface
Matthew J Mender, Samuel R Nason-Tomaszewski, Hisham Temmar, et al.
Biorxiv : the Preprint Server for Biology
|
March 18, 2024
Artificial neural network for brain-machine interface consistently produces more naturalistic finger movements than linear methods
Hisham Temmar, Matthew S Willsey, Joseph T Costello, et al.
Journal of Neural Engineering
|
August 11, 2023
Error detection and correction in intracortical brain-machine interfaces controlling two finger groups
Dylan M Wallace, Miri Benyamini, Samuel R Nason-Tomaszewski, et al.
Journal of Neural Engineering
|
June 17, 2025
Investigating the benefits of artificial neural networks over linear approaches to BMI decoding
Hisham Temmar, Matthew S Willsey, Joseph T Costello, et al.
Journal of Neural Engineering
|
May 25, 2022
A low-power communication scheme for wireless, 1000 channel brain-machine interfaces
Joseph T Costello, Samuel R Nason-Tomaszewski, Hyochan An, et al.
Page
of 2