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Qinbing Fu

Showing results (1-10 of 18) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|June 1, 2023
Motion perception based on ON/OFF channels: A surveyQinbing Fu
Biological Cybernetics|July 6, 2020
Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgroundsQinbing Fu, Shigang Yue
Bioinspiration & Biomimetics|December 10, 2025
Stochastic and evolutionary looming detection under visual noiseYizuo Cai, Qinbing Fu
Neural Networks : the Official Journal of the International Neural Network Society|July 12, 2024
A computationally efficient and robust looming perception model based on dynamic neural fieldZiyan Qin, Qinbing Fu, Jigen Peng
Artificial Life|August 10, 2019
Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A ReviewQinbing Fu, Hongxin Wang, Cheng Hu, et al.
Biomimetics (Basel, Switzerland)|March 27, 2024
A Bio-Inspired Probabilistic Neural Network Model for Noise-Resistant Collision PerceptionJialan Hong, Xuelong Sun, Jigen Peng, et al.
Biomimetics (Basel, Switzerland)|November 26, 2024
A Computationally Efficient Neuronal Model for Collision Detection with Contrast Polarity-Specific Feed-Forward InhibitionGuangxuan Gao, Renyuan Liu, Mengying Wang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 7, 2023
An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidanceXuelong Sun, Qinbing Fu, Jigen Peng, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 31, 2018
Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptationQinbing Fu, Cheng Hu, Jigen Peng, et al.
Journal of the Royal Society, Interface|January 15, 2026
A bio-inspired research paradigm of collision perception neurons enabling neuro-robotic integration: the LGMD caseZiyan Qin, Jigen Peng, Shigang Yue, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Neural Networks : the Official Journal of the International Neural Network Society|June 1, 2023
Motion perception based on ON/OFF channels: A surveyQinbing Fu
Biological Cybernetics|July 6, 2020
Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgroundsQinbing Fu, Shigang Yue
Bioinspiration & Biomimetics|December 10, 2025
Stochastic and evolutionary looming detection under visual noiseYizuo Cai, Qinbing Fu
Neural Networks : the Official Journal of the International Neural Network Society|July 12, 2024
A computationally efficient and robust looming perception model based on dynamic neural fieldZiyan Qin, Qinbing Fu, Jigen Peng
Artificial Life|August 10, 2019
Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A ReviewQinbing Fu, Hongxin Wang, Cheng Hu, et al.
Biomimetics (Basel, Switzerland)|March 27, 2024
A Bio-Inspired Probabilistic Neural Network Model for Noise-Resistant Collision PerceptionJialan Hong, Xuelong Sun, Jigen Peng, et al.
Biomimetics (Basel, Switzerland)|November 26, 2024
A Computationally Efficient Neuronal Model for Collision Detection with Contrast Polarity-Specific Feed-Forward InhibitionGuangxuan Gao, Renyuan Liu, Mengying Wang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 7, 2023
An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidanceXuelong Sun, Qinbing Fu, Jigen Peng, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 31, 2018
Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptationQinbing Fu, Cheng Hu, Jigen Peng, et al.
Journal of the Royal Society, Interface|January 15, 2026
A bio-inspired research paradigm of collision perception neurons enabling neuro-robotic integration: the LGMD caseZiyan Qin, Jigen Peng, Shigang Yue, et al.
Pageof 2