Author

S. M. Perkins

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· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Approach:statistical model· 1

Frequent Co-Authors

E. A. Amematsro· 1 shared J. P. Cunningham· 1 shared M. M. Churchland· 1 shared Q. Wang· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 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

1 shared paperBioengineering

E. A. Amematsro

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

An emerging view of neural geometry in motor cortex supports high-performance decoding

S. M. Perkins, E. A. Amematsro, J. P. Cunningham, Q. Wang, M. M. Churchland

This paper introduces MINT, a decoder for brain-computer interfaces that uses statistical constraints, outperforming interpretable methods and competing with machine learning approaches in multiple tasks.

bioRxiv · Apr 5, 2023Bioengineering