Author

A. L. Orsborn

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioengineering· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

S. A. Burden· 2 shared A. Christensen· 1 shared A. H. Y. Chou· 1 shared F. L. Hutchison· 1 shared J. Isa· 1 shared M. M. Madduri· 1 shared M. Madduri· 1 shared S. J. Li· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

2 shared papersBioengineering

S. A. Burden

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Using Eye Gaze to Train an Adaptive Myoelectric Interface

A. H. Y. Chou, M. Madduri, S. J. Li, J. Isa, A. Christensen, F. L. Hutchison, S. A. Burden, A. L. Orsborn

This study demonstrates that using eye gaze as training data can achieve comparable performance to task-specific training in adaptive myoelectric interfaces for 2D cursor control.

bioRxiv · Apr 8, 2024 · PreprintBioengineering

A Game-Theoretic Model for Co-Adaptive Brain-Machine Interfaces

M. M. Madduri, S. A. Burden, A. L. Orsborn

This paper develops a game-theoretic model to analyze co-adaptation in brain-machine interfaces, showing how convergence to equilibria depends on learning rates.

bioRxiv · Dec 11, 2020 · PreprintBioengineering