Author

Tao Zhang

Chinese Academy of SciencesORCID 0000-0002-2980-6281Unclaimed ORCID profile · follow to get notified of new preprints

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Tao Zhang9 papers · BGI Group (China)

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alireza Sheikhattar· 1 shared Behtash BabadiiD· 1 shared Dongdong CheniD· 1 shared Dongzhi Wu· 1 shared Hongxiu Wang· 1 shared Jingqin SuiD· 1 shared Jonathan Z. SimoniD· 1 shared Li‐Qun CheniD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Alireza Sheikhattar

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3 papers

Recent·Most cited

Network pharmacology, bioinformatics, molecular docking and experimental verification of the mechanism of HXZTS treatment on osteoarthritis synovium

Li‐Qun Chen, Hongxiu Wang, Dongzhi Wu, Jingqin Su, Shunxi Chen, Dongdong Chen, Tao Zhang, Wenhui He

This study identifies the molecular targets and mechanisms of HXZTS in treating osteoarthritis synovium using network pharmacology, bioinformatics, molecular docking, and experimental validation.

bioRxiv · Sep 25, 2025 · PreprintBioinformatics

The brain time estimation system is dynamically assembled by non-temporal perceptual states

Wenhao Han, Tingting Feng, Yifei Han, Yawen Sun, Yi Jiang, Tao Zhang

The paper investigates how visual signal integration affects time perception, finding that perceptual duration depends on the dynamics of non-temporal perceptual states and the assembly of timing units and read-out systems.

bioRxiv · Sep 20, 2023 · PreprintNeuroscience

Real-Time Tracking of Selective Auditory Attention from M/EEG: A Bayesian Filtering Approach

Sina Miran, Sahar Akram, Alireza Sheikhattar, Jonathan Z. Simon, Tao Zhang, Behtash Babadi

This paper develops real-time algorithms to decode auditory attention from M/EEG data, achieving performance comparable to offline methods with improved adaptability and efficiency.

Frontiers in Neuroscience · May 1, 2018Peer-reviewedNeuroscience