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Frontiers in Computational Neuroscience|June 1, 2016
Burst Firing Enhances Neural Output CorrelationHo Ka Chan, Dong-Ping Yang, Changsong Zhou, et al.Plos Computational Biology|February 14, 2017
Co-emergence of multi-scale cortical activities of irregular firing, oscillations and avalanches achieves cost-efficient information capacityDong-Ping Yang, Hai-Jun Zhou, Changsong ZhouPlos Computational Biology|December 12, 2018
Odorant mixtures elicit less variable and faster responses than pure odorantsHo Ka Chan, Fabian Hersperger, Emiliano Marachlian, et al.Scientific Reports|January 5, 2024
A multi-stage anticipated surprise model with dynamic expectation for economic decision-makingHo Ka Chan, Taro ToyoizumiProceedings of the National Academy of Sciences of the United States of America|April 29, 2020
Understanding the computation of time using neural network modelsZedong Bi, Changsong ZhouPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 7, 2010
Rate-synchrony relationship between input and output of spike trains in neuronal networksSentao Wang, Changsong ZhouFrontiers in Computational Neuroscience|August 25, 2016
Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. II: Spike Shuffling Methods on LIF NetworksZedong Bi, Changsong ZhouPhysical Review Letters|June 13, 2002
Noise-induced phase synchronization and synchronization transitions in chaotic oscillatorsChangsong Zhou, Jürgen KurthsFrontiers in Systems Neuroscience|January 11, 2012
Organization of Anti-Phase Synchronization Pattern in Neural Networks: What are the Key Factors?Dong Li, Changsong ZhouChaos (Woodbury, N.Y.)|April 5, 2003
Noise-induced synchronization and coherence resonance of a Hodgkin-Huxley model of thermally sensitive neuronsChangsong Zhou, Jürgen KurthsPageof 23