Author

Raphaël Dang-Nhu

ETH Zurich

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

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:statistical model· 1

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Angelika StegeriD· 1 shared Florian MeieriD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Angelika StegerORCID

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1 paper

Recent·Most cited

Adaptive Tuning Curve Widths Improve Sample Efficient Learning

Florian Meier, Raphaël Dang-Nhu, Angelika Steger

This paper introduces a learning algorithm that achieves high sample efficiency using bio-plausible mechanisms, showing that adaptive tuning curve widths improve both sample efficiency and final precision.

Frontiers in Computational Neuroscience · Feb 18, 2020Peer-reviewedNeuroscience