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Fast and robust learning in Spiking Feed-forward Neural Networks based on Intrinsic Plasticity mechanism.

, , , and . Neurocomputing, (2019)

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Real-Time Classification Through a Spiking Deep Belief Network with Intrinsic Plasticity., , and . ISNN (1), volume 10261 of Lecture Notes in Computer Science, page 188-196. Springer, (2017)Intrinsic Plasticity for Online Unsupervised Learning Based on Soft-Reset Spiking Neuron Model., , , , and . IEEE Trans. Cogn. Dev. Syst., 15 (2): 337-347 (2023)Asymptotic Tracking Control for Uncertain MIMO Systems: A Biologically Inspired ESN Approach., , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (5): 1881-1890 (2022)Reconfigurable Mobile Robots Robust Segment Reconfiguration Docking Strategy., , , and . IECON, page 1-6. IEEE, (2023)What can computer vision learn from visual neuroscience? Introduction to the special issue., , , and . Biol. Cybern., 117 (4): 297-298 (October 2023)Fast and robust learning in Spiking Feed-forward Neural Networks based on Intrinsic Plasticity mechanism., , , and . Neurocomputing, (2019)Improving liquid state machine in temporal pattern classification., , , , and . ICARCV, page 88-91. IEEE, (2018)The Critical Dynamics in Neural Network Improve the Computational Capability of Liquid State Machines., , , and . ISNN (1), volume 10261 of Lecture Notes in Computer Science, page 395-403. Springer, (2017)Global Industrial Chain Resilience Research: Theory and Measurement., , and . Syst., 11 (9): 466 (September 2023)Computational capability of liquid state machines with spike-timing-dependent plasticity., , and . Neurocomputing, (2013)