Statistical inference approach to structural reconstruction of complex networks from binary time series-Reference-Cited by-同舟云学术

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Statistical inference approach to structural reconstruction of complex networks from binary time series

Published:2018-02-05 Issue:2 Volume:97 Page:
ISSN:2470-0045
Container-title:Physical Review E
language:en
Short-container-title:Phys. Rev. E

Author:

Ma Chuang,Chen Han-Shuang,Lai Ying-Cheng,Zhang Hai-Feng

Funder

National Natural Science Foundation of China

Office of Naval Research

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevE.97.022301/fulltext

Reference76 articles.

1. Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance

2. Statistical Significance of Coincident Spikes: Count-Based Versus Rate-Based Statistics

3. Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling

4. Differential expression of the Na+-Ca2+ exchanger transcripts and proteins in rat brain regions

5. Beta oscillations in a large-scale sensorimotor cortical network: Directional influences revealed by Granger causality

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