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Deep Spiking Neural Networks With Binary Weights for Object Recognition.

, , , и . IEEE Trans. Cogn. Dev. Syst., 13 (3): 514-523 (2021)

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Huajin Qu

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Dynamical properties of continuous attractor neural network with background tuning., , , и . Neurocomputing, (2013)Bio-inspired categorization using event-driven feature extraction and spike-based learning., , и . IJCNN, стр. 3845-3852. IEEE, (2014)An Unsupervised Spiking Deep Neural Network for Object Recognition., , , и . ISNN (2), том 11555 из Lecture Notes in Computer Science, стр. 361-370. Springer, (2019)A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development., , , и . ICONIP (1), том 11301 из Lecture Notes in Computer Science, стр. 582-593. Springer, (2018)A Simplified Cerebellum-Based Model for Motor Control in Brain Based Devices., , , и . ICONIP (1), том 8226 из Lecture Notes in Computer Science, стр. 520-527. Springer, (2013)Associative Memory Model of Hippocampus CA3 Using Spike Response Neurons., , , , и . ICONIP (1), том 7062 из Lecture Notes in Computer Science, стр. 493-500. Springer, (2011)Guest Editorial Special Section on Emerging Information Sharing and Design Technologies on Robotics and Mechatronics Systems for Intelligent Manufacturing., , , , и . IEEE Trans. Ind. Informatics, 15 (3): 1643-1646 (2019)Effective Transfer Learning Algorithm in Spiking Neural Networks., , , , и . IEEE Trans. Cybern., 52 (12): 13323-13335 (2022)Deep Spiking Neural Networks With Binary Weights for Object Recognition., , , и . IEEE Trans. Cogn. Dev. Syst., 13 (3): 514-523 (2021)Editorial IEEE Transactions on Cognitive and Developmental Systems.. IEEE Trans. Cogn. Dev. Syst., 15 (1): 2 (марта 2023)