Author

Kezhi Li

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Biology Disciplines

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Animal Behavior & Cognition· 1

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Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Andre E.X. BrowniD· 1 shared Avelino Javer· 1 shared Eric E. Keaveny· 1 shared

Activity by Year

2017-2017 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

Andre E.X. BrownORCID

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1 paper

Recent·Most cited

Animal Behavior & CognitionbioRxivPreprintNov 20, 2017

Recurrent Neural Networks with Interpretable Cells Predict and Classify Worm Behaviour

Kezhi Li, Avelino Javer, Eric E. Keaveny, Andre E.X. Brown

This paper uses a multilayer RNN to generate and classify C. elegans behaviour, finding that interpretable neurons correlate with observable features and improve strain classification.

DOI 10.1101/222208

C. elegansimaging

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