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Rubin Wang

Showing results (41-50 of 85) with videos related to

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Cognitive Neurodynamics|January 16, 2014
Estimating causal interaction between prefrontal cortex and striatum by transfer entropyChaofei Ma, Xiaochuan Pan, Rubin Wang, et al.
Cognitive Neurodynamics|November 29, 2018
Simulation of retinal ganglion cell response using fast independent component analysisGuanzheng Wang, Rubin Wang, Wanzheng Kong, et al.
Cognitive Neurodynamics|July 29, 2016
Locating and navigation mechanism based on place-cell and grid-cell modelsChuankui Yan, Rubin Wang, Jingyi Qu, et al.
Neural Plasticity|December 10, 2020
The Relationship between Sparseness and Energy Consumption of Neural NetworksGuanzheng Wang, Rubin Wang, Wanzeng Kong, et al.
Cognitive Neurodynamics|September 3, 2011
Analyzing inner and outer synchronization between two coupled discrete-time networks with time delaysWeigang Sun, Rubin Wang, Weixiang Wang, et al.
Computational and Mathematical Methods in Medicine|February 12, 2014
The effect of inhibitory neuron on the evolution model of higher-order coupling neural oscillator populationYi Qi, Rubin Wang, Xianfa Jiao, et al.
IEEE Transactions on Neural Networks|June 10, 2011
Phase synchronization motion and neural coding in dynamic transmission of neural informationRubin Wang, Zhikang Zhang, Jingyi Qu, et al.
Cognitive Neurodynamics|June 9, 2016
Functional connectivity between prefrontal cortex and striatum estimated by phase locking valueYan Zhang, Xiaochuan Pan, Rubin Wang, et al.
Cognitive Neurodynamics|March 14, 2014
Oscillations and synchrony in a cortical neural networkJingyi Qu, Rubin Wang, Chuankui Yan, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 24, 2017
Robustly Fitting and Forecasting Dynamical Data With Electromagnetically Coupled Artificial Neural Network: A Data Compression MethodZiyin Wang, Mandan Liu, Yicheng Cheng, et al.
Pageof 9

Showing results (41-50 of 85) with videos related to

Sort By:
Pageof 9
Cognitive Neurodynamics|January 16, 2014
Estimating causal interaction between prefrontal cortex and striatum by transfer entropyChaofei Ma, Xiaochuan Pan, Rubin Wang, et al.
Cognitive Neurodynamics|November 29, 2018
Simulation of retinal ganglion cell response using fast independent component analysisGuanzheng Wang, Rubin Wang, Wanzheng Kong, et al.
Cognitive Neurodynamics|July 29, 2016
Locating and navigation mechanism based on place-cell and grid-cell modelsChuankui Yan, Rubin Wang, Jingyi Qu, et al.
Neural Plasticity|December 10, 2020
The Relationship between Sparseness and Energy Consumption of Neural NetworksGuanzheng Wang, Rubin Wang, Wanzeng Kong, et al.
Cognitive Neurodynamics|September 3, 2011
Analyzing inner and outer synchronization between two coupled discrete-time networks with time delaysWeigang Sun, Rubin Wang, Weixiang Wang, et al.
Computational and Mathematical Methods in Medicine|February 12, 2014
The effect of inhibitory neuron on the evolution model of higher-order coupling neural oscillator populationYi Qi, Rubin Wang, Xianfa Jiao, et al.
IEEE Transactions on Neural Networks|June 10, 2011
Phase synchronization motion and neural coding in dynamic transmission of neural informationRubin Wang, Zhikang Zhang, Jingyi Qu, et al.
Cognitive Neurodynamics|June 9, 2016
Functional connectivity between prefrontal cortex and striatum estimated by phase locking valueYan Zhang, Xiaochuan Pan, Rubin Wang, et al.
Cognitive Neurodynamics|March 14, 2014
Oscillations and synchrony in a cortical neural networkJingyi Qu, Rubin Wang, Chuankui Yan, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 24, 2017
Robustly Fitting and Forecasting Dynamical Data With Electromagnetically Coupled Artificial Neural Network: A Data Compression MethodZiyin Wang, Mandan Liu, Yicheng Cheng, et al.
Pageof 9