Author

Alexander Rivkind

Weizmann Institute of ScienceORCID 0009-0009-6934-1472Unclaimed 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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Research Focus:benchmarking· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Ehud AhissariD· 1 shared Eldad AssaiD· 1 shared Fahad Shahbaz KhaniD· 1 shared Michael Kreisserman· 1 shared Ran DarshaniD· 1 shared Salman Hameed KhaniD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 10 mutual co-author links

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1 shared paperNeuroscience

Ehud AhissarORCID

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2 papers

Recent·Most cited

NeuroscienceNature CommunicationsPeer-reviewedAug 20, 2026

Temporal coding enables hyperacuity in event based vision

Eldad Assa, Alexander Rivkind, Michael Kreisserman…·Ehud Ahissar

This study shows that event-based spatio-temporal coding improves recognition of tiny images compared to frame-based spatial coding, and enables Vernier hyperacuity in artificial neural networks.

2 citations

imagingmachine learning (classical)

𝕏 PostBluesky

NeuroscienceCell ReportsPeer-reviewedApr 1, 2022

Learning to represent continuous variables in heterogeneous neural networks

Ran Darshan, Alexander Rivkind

The paper develops a theory for manifold attractors in trained neural networks, showing how asymmetries and connectivity heterogeneity affect their formation and stability.

44 citationstop 4%

statistical model

𝕏 PostBluesky