Author

Nitzan Shahar

Tel Aviv UniversityORCID 0000-0002-1364-6738Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

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Eliya NachmaniiD· 1 shared Lior WolfiD· 1 shared Yoav GeriD· 1 shared

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3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Eliya NachmaniORCID

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1 paper

Recent·Most cited

NeurosciencePLoS Computational BiologyPeer-reviewedJan 4, 2024

Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior

Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar

This paper introduces a framework combining neural networks with reinforcement learning to predict dynamic theoretical parameters in human choice behavior using synthetic and empirical data.

19 citations

humanmachine learning (classical)

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