Author

Dylan Forenzo

Carnegie Mellon UniversityORCID 0000-0002-2661-7434Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Bin HeiD· 1 shared Hao ZhuiD· 1 shared Jaehyun LimiD· 1 shared Jenn ShanahaniD· 1 shared Jennifer M. D. YooniD· 1 shared Jonathan A. WinaweriD· 1 shared Kendrick KayiD· 1 shared Noah Charles BensoniD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperBioengineering

Bin HeORCID

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2 papers

Recent·Most cited

BioengineeringPNAS NexusPeer-reviewedMar 28, 2024

Continuous Tracking using Deep Learning-based Decoding for Non-invasive Brain-Computer Interface

Dylan Forenzo, Hao Zhu, Jenn Shanahan…·Bin He

This paper develops deep learning-based decoders for continuous brain-computer interface (BCI) control and shows they improve performance over time and outperform traditional methods in complex tasks.

39 citationstop 2%

humanelectrophysiology

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NeuroscienceJournal of NeurosciencePeer-reviewedSep 30, 2022

Variability of the Surface Area of the V1, V2, and V3 Maps in a Large Sample of Human Observers

Noah Charles Benson, Jennifer M. D. Yoon, Dylan Forenzo…·Jonathan A. Winawer

The paper quantifies individual variability in the size and structure of visual areas V1, V2, and V3 across a large sample of human observers and examines twin similarities.

74 citationstop 2%

humanimaging

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