Author

Andreas Fragner

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· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 1 Assay:electronic health records· 1 Assay:electrophysiology· 1 Organism:mouse· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

Fotios DrakopoulosiD· 2 shared Nicholas A. LesicaiD· 2 shared Shievanie Sabesan· 2 shared Ciaran A. BenchiD· 1 shared Lloyd PellattiD· 1 shared Yiqing XiaiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersBioengineering

Fotios DrakopoulosORCID

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2 papers

Recent·Most cited

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

Fotios Drakopoulos, Lloyd Pellatt, Shievanie Sabesan, Yiqing Xia, Andreas Fragner, Nicholas A. Lesica

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

Nature Machine Intelligence · Sep 18, 2025Peer-reviewedBioengineering

Distorted neural signal dynamics create hypersensitivity to background noise after hearing loss

Shievanie Sabesan, Andreas Fragner, Ciaran A. Bench, Fotios Drakopoulos, Nicholas A. Lesica

The paper investigates how hearing loss distorts neural signal dynamics, leading to hypersensitivity to background noise, using brain recordings and deep neural networks.

eLife · Apr 28, 2023Peer-reviewedNeuroscience