Miriam Zacksenhouse

Accepting PhD Students

PhD projects

Brain computer interfaces with auto-corrections; Error-realted potentials, Reinforcement learning of robotic policies; Machine Learning for Brain computer interfaces

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40 Article
18 Conference contribution
8 Paper
3 Chapter
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Error detection and correction in intracortical brain-machine interfaces controlling two finger groups
Wallace, D. M., Benyamini, M., Nason-Tomaszewski, S. R., Costello, J. T., Cubillos, L. H., Mender, M. J., Temmar, H., Willsey, M. S., Patil, P. G., Chestek, C. A. & Zacksenhouse, M., 1 Aug 2023, In: Journal of Neural Engineering. 20, 4, 046037.
Research output: Contribution to journal › Article › peer-review

Open Access
Reinforcement Learning of Impedance Policies for Peg-in-Hole Tasks: Role of Asymmetric Matrices
Kozlovsky, S., Newman, E. & Zacksenhouse, M., 1 Oct 2022, In: IEEE Robotics and Automation Letters. 7, 4, p. 10898-10905 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
10 Scopus citations
Error related EEG potentials evoked by visuo-motor rotations
Benyamini, M., Demchenko, I. & Zacksenhouse, M., 15 Oct 2021, In: Brain Research. 1769, 147606.
Research output: Contribution to journal › Article › peer-review

Open Access
3 Scopus citations
Learning Contact-Rich Assembly Skills Using Residual Admittance Policy
Spector, O. & Zacksenhouse, M., 2021, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021. p. 6023-6030 8 p. (IEEE International Conference on Intelligent Robots and Systems).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
7 Scopus citations
Shifts in Estimated Preferred Directions During Simulated BMI Experiments With No Adaptation
Benyamini, M. & Zacksenhouse, M., 19 Jul 2021, In: Frontiers in Systems Neuroscience. 15, 677688.
Research output: Contribution to journal › Article › peer-review

Open Access

Miriam Zacksenhouse

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Collaborations and top research areas from the last five years

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Error detection and correction in intracortical brain-machine interfaces controlling two finger groups

Reinforcement Learning of Impedance Policies for Peg-in-Hole Tasks: Role of Asymmetric Matrices

Error related EEG potentials evoked by visuo-motor rotations

Learning Contact-Rich Assembly Skills Using Residual Admittance Policy

Shifts in Estimated Preferred Directions During Simulated BMI Experiments With No Adaptation

Miriam Zacksenhouse

Fingerprint

Collaborations and top research areas from the last five years

Research output

Error detection and correction in intracortical brain-machine interfaces controlling two finger groups

Reinforcement Learning of Impedance Policies for Peg-in-Hole Tasks: Role of Asymmetric Matrices

Error related EEG potentials evoked by visuo-motor rotations

Learning Contact-Rich Assembly Skills Using Residual Admittance Policy

Shifts in Estimated Preferred Directions During Simulated BMI Experiments With No Adaptation