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Changsong Zhou
Researcher at Hong Kong Baptist University
Publications - 263
Citations - 15035
Changsong Zhou is an academic researcher from Hong Kong Baptist University. The author has contributed to research in topics: Ceramic & Synchronization (computer science). The author has an hindex of 49, co-authored 200 publications receiving 13264 citations. Previous affiliations of Changsong Zhou include Nankai University & Zhejiang University.
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Updating and validating a new framework for restoring and analyzing latency‐variable ERP components from single trials with residue iteration decomposition (RIDE)
TL;DR: The updated RIDE method solves the divergence problem inherent to previous latency-based decomposition methods and yields dynamic information about single trials by implementing the model of ERPs as consisting of time-variable and invariable single-trial component clusters.
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Graph analysis of cortical networks reveals complex anatomical communication substrate.
TL;DR: The corticocortical network of the cat is analyzed, looking for the anatomical substrate which permits the simultaneous segregation and integration of information in the brain, to find that cortical communications are mainly governed by three topological factors of the underlying network.
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Nonlinear dimensionality reduction in climate data
TL;DR: Isomap is applied to the sea surface temperature and thermocline data in the tropical Pacific Ocean, where the El Nino-Southern Oscillation (ENSO) phenomenon and the annual cycle phenomena interact, and gives a more accurate description of the manifold dimensionality of the physical system.
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Functional complexity emerging from anatomical constraints in the brain: the significance of network modularity and rich-clubs.
TL;DR: In this article, the authors examine how modules and hubs shape the collective dynamics on networks and find that both ingredients lead to the emergence of complex dynamics, similar to the features found in many other real networks: the arrangement of brain regions into modules and the presence of highly connected regions forming rich-clubs.
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Overcoming limitations of the ERP method with Residue Iteration Decomposition (RIDE): A demonstration in go/no-go experiments
TL;DR: A solution to the problem of spurious topographical localization of the no-go-N2 component is proposed using Residue Iteration Decomposition (RIDE), demonstrated with data from representative go/no-go experiments.