Author

F. Drakopoulos

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1 Organism:mouse· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

A. Fragner· 1 shared A. Osses Vecchi· 1 shared L. Pellatt· 1 shared N. A. Lesica· 1 shared S. Sabesan· 1 shared S. Verhulst· 1 shared T. Wartenberg· 1 shared V. Vasilkov· 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

A. Fragner

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2 papers

Recent·Most cited

Modeling neural coding in the auditory midbrain with high resolution and accuracy

F. Drakopoulos, L. Pellatt, S. Sabesan, Y. Xia, A. Fragner, N. A. Lesica

The paper introduces ICNet, a deep learning model that accurately simulates neural dynamics in the auditory midbrain across various sounds, including speech.

bioRxiv · Jun 17, 2024Bioengineering

Model-based hearing-enhancement strategies for cochlear synaptopathy pathologies

F. Drakopoulos, V. Vasilkov, A. Osses Vecchi, T. Wartenberg, S. Verhulst

This study develops and evaluates hearing-enhancement algorithms to improve auditory nerve coding in cochlear synaptopathy, showing improvements in temporal-envelope processing and speech-in-noise intelligibility.

bioRxiv · Jan 10, 2022Bioengineering