Author

Paul Züge

University of BonnORCID 0000-0002-0022-7542Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:simulation· 1

Frequent Co-Authors

Raoul-Martin MemmesheimeriD· 2 shared Christian KlosiD· 1 shared Natalie SchiefersteiniD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

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3 top collaborators · 2 mutual co-author links

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2 shared papersNeuroscience

Raoul-Martin MemmesheimerORCID

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2 papers

Recent·Most cited

NeurosciencePLoS Computational BiologyPeer-reviewedJul 3, 2025

Cooperative coding of continuous variables in networks with sparsity constraint

Paul Züge, Natalie Schieferstein, Raoul-Martin Memmesheimer

The paper explains how cooperative coding in neural networks reduces synaptic requirements while balancing response speed through specific recurrent connections.

DOI 10.1371/journal.pcbi.1012156

statistical model

𝕏 PostBluesky

NeurosciencebioRxivPreprintOct 4, 2021

Weight Perturbation Learning Performs Similarly or Better than Node Perturbation on Broad Classes of Temporally Extended Tasks

Paul Züge, Christian Klos, Raoul-Martin Memmesheimer

This paper compares weight perturbation and node perturbation learning rules on temporally extended tasks, finding that weight perturbation can perform as well or better under certain conditions.

DOI 10.1101/2021.10.04.463055

statistical modelsimulation

𝕏 PostBluesky