Author

Nicholas W. DeKorver

Washington University in St. LouisORCID 0000-0002-7629-352XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Organism:rat· 1 Approach:statistical model· 1

Frequent Co-Authors

Ezra S Miller· 1 shared Gemechu Bekele TolossaiD· 1 shared Jordan A. Janzen-MezaiD· 1 shared Juntao Zhong· 1 shared Keith B. HengeniD· 1 shared Kiran Bhaskaran‐Nair· 1 shared Leandro J. FosqueiD· 1 shared Mary E. Lambo· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Ezra S Miller

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1 paper

Recent·Most cited

A single dynamical property can account for the capacity to learn, from artificial networks to the mammalian brain.

Ravi Chopra, Juntao Zhong, Ezra S Miller, Gemechu Bekele Tolossa, Leandro J. Fosque, Jordan A. Janzen-Meza, Nicholas W. DeKorver, Réjean M. Guerriero, Neil J. Ritter, Mary E. Lambo, Kiran Bhaskaran‐Nair, Stephen D. Van Hooser, Woodrow L. Shew, Keith B. Hengen

The paper shows that proximity to criticality in neural systems predicts learning rates and cognitive abilities across species.

bioRxiv · Jul 14, 2026 · PreprintNeuroscience