Author

Kriti Kacker

Carnegie Mellon UniversityORCID 0000-0002-3216-6203Unclaimed 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:cell type annotation· 1 Approach:deep learning· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Douglas J. WeberiD· 2 shared Amy BoosiD· 1 shared Ariel K. FeldmaniD· 1 shared Dailyn Despradel DespradeliD· 1 shared Dano MorrisoniD· 1 shared Diego Adrian GutniskyiD· 1 shared Emanuele FormentoiD· 1 shared Inseung KangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersNeuroscience

Douglas J. WeberORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJun 8, 2026

Appellian Neural Networks

Serhii Bahdasariants, Lauren R. Parola, Kriti Kacker…·Douglas J. Weber

The paper introduces ANNet, a physics-informed neural network that unifies inverse and forward dynamics computations using a shared learned representation based on Appell's acceleration energy.

DOI 10.64898/2026.06.03.729998

deep learningstatistical model

𝕏 PostBluesky

BioengineeringbioRxivPreprintJan 12, 2026

Enabling Skilled Human-Computer Interaction After Paralysis via a Wearable sEMG Interface

Dailyn Despradel Despradel, Maxwell D. Murphy, Luigi Borda…·Douglas J. Weber

People with tetraplegia used a wristband sensor to detect forearm motor unit firing and perform human-computer interaction tasks.

DOI 10.64898/2026.01.09.698484

humanelectrophysiology

𝕏 PostBluesky