Author

Nishant Ganesh Kumar

University of MichiganORCID 0000-0002-0875-5809Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:experimental assay· 3 Organism:non-human primate· 3 Assay:electronic health records· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Cynthia A. ChestekiD· 5 shared Matthew J. MenderiD· 5 shared Matthew S. WillseyiD· 5 shared Parag G. PatiliD· 5 shared Theodore A. KungiD· 5 shared Hisham TemmariD· 4 shared Dylan M WallaceiD· 3 shared Joseph T. CostelloiD· 3 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

5 shared papersNeuroscience

Cynthia A. ChestekORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Functional Electrical Stimulation and Brain-Machine Interfaces for Simultaneous Control of Wrist and Finger Flexion

Matthew J. Mender, Ayobami L. Ward, Luis Hernan Cubillos, Madison M. Kelberman, Joseph T. Costello, Hisham Temmar, Dylan M Wallace, Edanjen T Lin, Jordan L W Lam, Matthew S. Willsey, Nishant Ganesh Kumar, Theodore A. Kung, Parag G. Patil, Cynthia A. Chestek

This study demonstrates that intramuscular FES can restore wrist and finger flexion in paralyzed monkeys, controlled by a BMI, achieving functional movement ranges and performance comparable to able-bodied control.

Journal of NeuroEngineering and Rehabilitation · Aug 5, 2026Peer-reviewedNeuroscience

Exploring Synergies in Brain-Machine Interfaces: Compression vs. Performance

Luis Hernan Cubillos, Madison M. Kelberman, Matthew J. Mender, Aren Hite, Hisham Temmar, Matthew S. Willsey, Nishant Ganesh Kumar, Theodore A. Kung, Parag G. Patil, Cynthia A. Chestek, Chandramouli Krishnan

This study evaluates if brain and muscle synergies improve decoding performance in implanted brain-machine interfaces (iBMIs) using dimensionality reduction techniques, finding that they do not enhance performance or generalization.

Restorative Neurology and Neuroscience · Jun 22, 2026Peer-reviewedNeuroscience

Sparse neural networks enable low-power, implantable neural interfaces

Joseph T. Costello, Hisham Temmar, Luis Hernan Cubillos, Matthew J. Mender, Dylan M Wallace, Madison M. Kelberman, Omer Benharush, Jeremy Simons, Matthew S. Willsey, Nishant Ganesh Kumar, Theodore A. Kung, Parag G. Patil, Cynthia A. Chestek

This paper shows that sparse neural networks reduce power consumption in implantable BMIs by pruning decoders, enabling efficient decoding with minimal performance loss.

bioRxiv · Dec 17, 2024 · PreprintBioengineering

The Impact of Task Context on Predicting Finger Movements in a Brain-Machine Interface

Matthew J. Mender, Samuel R. Nason, Hisham Temmar, Joseph T. Costello, Dylan M Wallace, Matthew S. Willsey, Nishant Ganesh Kumar, Theodore A. Kung, Parag G. Patil, Cynthia A. Chestek

This study examines how task context affects brain-machine interface performance, finding that offline predictions are sensitive to context changes but online control remains stable.

eLife · Jun 7, 2023Peer-reviewedNeuroscience

Brain-Controlled Electrical Stimulation Restores Continuous Finger Function

Samuel R. Nason, Matthew J. Mender, Eric Kennedy, Joris M. Lambrecht, Kevin L. Kilgore, Srinivas Chiravuri, Nishant Ganesh Kumar, Theodore A. Kung, Matthew S. Willsey, Cynthia A. Chestek, Parag G. Patil

This study demonstrates that a brain-controlled functional electrical stimulation system can restore continuous finger function in a paralyzed monkey, achieving high success rates with minimal training.

bioRxiv · Jun 15, 2022 · PreprintNeuroscience