Author

Kaan Kesgin

Lund UniversityORCID 0009-0005-2418-3715Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Henrik JörntelliD· 2 shared Sofie Skårup KristenseniD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersNeuroscience

Henrik JörntellORCID

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2 papers

Recent·Most cited

NeuroscienceCommunications BiologyPeer-reviewedAug 23, 2024

High-dimensional cortical signals reveal rich bimodal and working memory-like representations among S1 neuron populations

Sofie Skårup Kristensen, Kaan Kesgin, Henrik Jörntell

The paper examines high-dimensional cortical signals in S1 neuron populations and finds they carry multimodal and working memory-like representations.

8 citations

mouseelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintFeb 27, 2023

Singular superlet transform achieves markedly improved time-frequency super-resolution for separating complex neural signals

Kaan Kesgin, Henrik Jörntell

The paper introduces the singular superlet transform (SST) to improve time-frequency resolution for separating complex neural signals, showing better performance than existing methods in isolating neuronal spikes and decomposing acoustic data.

4 citations

electronic health recordstransformer / foundation model

𝕏 PostBluesky