Author

Jaap de Ruyter van Steveninck

Radboud University NijmegenORCID 0000-0002-2711-0889Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Assay:electrophysiology· 1 Organism:non-human primate· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Bodo RueckaueriD· 2 shared Marcel A. J. van GerveniD· 2 shared Maureen van der GrinteniD· 2 shared Pieter R. RoelfsemaiD· 2 shared Umut GüçlüiD· 2 shared Yağmur GüçlütürkiD· 2 shared Antonio LozanoiD· 1 shared Burcu KüçükoğluiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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2 shared papersBioengineering

Bodo RueckauerORCID

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2 papers

Recent·Most cited

End-to-end Learning of Safe Stimulation Parameters for Cortical Neuroprosthetic Vision

Burcu Küçükoğlu, Bodo Rueckauer, Jaap de Ruyter van Steveninck, Maureen van der Grinten, Yağmur Güçlütürk, Pieter R. Roelfsema, Umut Güçlü, Marcel A. J. van Gerven

This study develops an end-to-end framework to learn safe stimulation parameters for cortical neuroprosthetic vision, improving phosphene interpretability while maintaining image reconstruction performance.

Journal of Neural Engineering · Jun 27, 2025Peer-reviewedBioengineering

Biologically plausible phosphene simulation forthe differentiable optimization of visual corticalprostheses

Maureen van der Grinten, Jaap de Ruyter van Steveninck, Antonio Lozano, Laura Pijnacker, Bodo Rueckauer, Pieter R. Roelfsema, Marcel A. J. van Gerven, Richard J. A. Van Wezel, Umut Güçlü, Yağmur Güçlütürk

This paper presents a differentiable phosphene simulator for optimizing visual cortical prostheses using biologically plausible models of visual perception.

eLife · Jan 25, 2024Peer-reviewedNeuroscience