Author

B. Rueckauer

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· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Approach:optimal transport· 1 Approach:statistical model· 1

Frequent Co-Authors

M. van Gerven· 2 shared B. Kücükoglu· 1 shared J. de Ruyter van Steveninck· 1 shared N. Ahmad· 1 shared U. Güclü· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBioengineering

M. van Gerven

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2 papers

Recent·Most cited

Optimal Control of Neural Systems

B. Rueckauer, M. van Gerven

This paper develops a data-driven framework for controlling neural systems using optimal control theory and deep learning, demonstrating its ability to restore function in simulated neural systems under perturbation.

bioRxiv · Dec 24, 2022 · PreprintBioengineering

Optimization of Neuroprosthetic Vision via End-to-end Deep Reinforcement Learning

B. Kücükoglu, B. Rueckauer, N. Ahmad, J. de Ruyter van Steveninck, U. Güclü, M. van Gerven

This paper uses deep reinforcement learning to optimize stimulation patterns for neuroprosthetic vision, showing improved performance compared to fixed feature extractors in complex environments.

bioRxiv · Feb 25, 2022Bioengineering