Author

Tianlu Wang

Universitätsklinikum TübingenORCID 0000-0002-7480-9705Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:electronic health records· 2 Approach:experimental assay· 1 Assay:imaging· 1 Organism:mouse· 1 Organism:plant (other)· 1 Research Focus:protein design· 1

Frequent Co-Authors

Alireza GharabaghiiD· 3 shared Luka MiloseviciD· 3 shared Maximilian SchereriD· 3 shared Robert GuggenbergeriD· 3 shared Ai‐Hui TangiD· 1 shared Dajun XingiD· 1 shared Donald L. GilliD· 1 shared JIA LIN LIiD· 1 shared

Activity by Year

2022-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersNeuroscience

Alireza GharabaghiORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Engineering of NEMO as calcium indicators with large dynamics and high sensitivity

JIA LIN LI, Ziwei Shang, Jiahui Chen, Wenjia Gu, Li Yao, Xin Yang, Xiaowen Sun, Liuqing Wang, Tianlu Wang, Siyao Liu, Jiajing Li, Tingting Hou, Dajun Xing, Donald L. Gill, Jiejie Li, , Youjun Wang

This paper develops NEMO, a new suite of calcium indicators with higher sensitivity and dynamic range than existing GECIs, enabling better detection of calcium transients in neurons and other cells.

Nature Methods · Apr 20, 2023Peer-reviewedSynthetic Biology

Direct Modulation Index: a measure of phase amplitude coupling for neurophysiology data

Maximilian Scherer, Tianlu Wang, Robert Guggenberger, Luka Milosevic, Alireza Gharabaghi

This paper introduces a new measure, direct modulation index (dMI), for phase-amplitude coupling in neurophysiology data, showing improved accuracy and robustness compared to existing methods.

Human Brain Mapping · Dec 29, 2022Peer-reviewedNeuroscience

Directional Absolute Coherence: a phase-based measure of effective connectivity for neurophysiology data

Maximilian Scherer, Tianlu Wang, Robert Guggenberger, Luka Milosevic, Alireza Gharabaghi

This paper introduces a new effective connectivity measure called directional absolute coherence (DAC) and demonstrates its reliability in estimating neural communication direction and magnitude.

bioRxiv · Feb 7, 2022 · PreprintNeuroscience

FiNN: A toolbox for neurophysiological network analysis

Maximilian Scherer, Tianlu Wang, Robert Guggenberger, Luka Milosevic, Alireza Gharabaghi

FiNN is a Python toolbox for neurophysiological network analysis that offers efficient data processing and visualization tools, outperforming existing frameworks in speed and memory usage.

Network Neuroscience · Jan 1, 2022Peer-reviewedNeuroscience