Author

Turgay Batbat

Erciyes UniversityORCID 0000-0002-0128-2076Unclaimed 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:benchmarking· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ayşegül GüveniD· 1 shared Carsten Hermann WoltersiD· 1 shared Christoph KellinghausiD· 1 shared Daniela CzernochowskiiD· 1 shared Demet Yeşi̇lbaşiD· 1 shared Gabriel MöddeliD· 1 shared Lala JafarovaiD· 1 shared Sebastian SägeriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Ayşegül GüvenORCID

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1 paper

Recent·Most cited

Machine-Learning-Based spike marking in signal and source space EEG from a patient with focal epilepsy

Lala Jafarova, Demet Yeşi̇lbaş, Christoph Kellinghaus, Gabriel Möddel, Stjepana Kovac, Stefan Rampp, Daniela Czernochowski, Sebastian Säger, Ayşegül Güven, Turgay Batbat, Carsten Hermann Wolters

This paper uses artificial neural networks to classify interictal epileptiform discharges in EEG data from a patient with focal epilepsy, achieving high accuracy in signal and source space analyses.

bioRxiv · Mar 10, 2026 · PreprintNeuroscience