Author

Joe Z. Tsien

Augusta University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:electronic health records· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:mouse· 1 Organism:non-human primate· 1 Organism:rat· 1

Frequent Co-Authors

Meng LiiD· 3 shared Deheng WangiD· 2 shared Grace E. Fox· 2 shared Hui KuangiD· 2 shared Jun LiuiD· 2 shared Kun Xie· 2 shared Ying Qing MaoiD· 2 shared Zhao FangiD· 2 shared

Activity by Year

2017-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Meng LiORCID

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3 papers

Recent·Most cited

Neural code uses self-information principle to organize the brain’s universal cell-assembly coding

Meng Li, Kun Xie, Hui Kuang, Jun Liu, Deheng Wang, Grace E. Fox, Zhifeng Shi, Liang Chen, Zhao Fang, Ying Qing Mao, Joe Z. Tsien

The paper introduces a theory of neural coding based on self-information principles and demonstrates its application in identifying cell-assembly patterns across various brain activities.

Cerebral Cortex · Apr 13, 2018Peer-reviewedNeuroscience

Spike-timing pattern operates as gamma-distribution across cell types, regions and animal species and is essential for naturally-occurring cognitive states

Meng Li, Kun Xie, Hui Kuang, Jun Liu, Deheng Wang, Grace E. Fox, Wei Wei, Xiaojian Li, Yuhui Li, Zhao Fang, Liang Chen, Zhifeng Shi, He Cui, Ying Qing Mao, Joe Z. Tsien

The paper shows spike-timing patterns across different neurons and species follow a gamma-distribution, remain stable across cognitive states, and break down under anesthesia.

bioRxiv · Feb 9, 2018 · PreprintNeuroscience

On Neural Code: The Self-Information Processor Disguised As Neuronal Variability?

Joe Z. Tsien, Meng Li

The paper proposes that neuronal variability encodes information through surprisal spikes, offering a new framework for understanding neural coding and its biological implications.

Frontiers in Cellular Neuroscience · Aug 30, 2017Peer-reviewedNeuroscience