Author

Lilli Kiessling

Bernstein Center for Computational Neuroscience BerlinORCID 0009-0002-7824-3689Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Assay:electrophysiology· 1 Approach:machine learning (classical)· 1 Organism:rat· 1

Frequent Co-Authors

Anna Kochnev GoldsteiniD· 1 shared Daniel PalankeriD· 1 shared Keith LyiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioengineering

Anna Kochnev GoldsteinORCID

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintJun 17, 2026

Identification of Direct and Network-Mediated Activation of Retinal Ganglion Cells from Visually Evoked Potentials Using Machine Learning

Lilli Kiessling, Anna Kochnev Goldstein, Keith Ly, Daniel Palanker

The paper develops a machine learning model to identify retinal ganglion cell activation pathways from visually evoked potentials, avoiding the need for toxic synaptic blockers.

DOI 10.64898/2026.06.16.732694

ratelectrophysiology

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