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Guest Editorial Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms.

, , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (1): 1-5 (2018)

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Artificial Cognitive Systems: From VLSI Networks of Spiking Neurons to Neuromorphic Cognition., , and . Cognitive Computation, 1 (2): 119-127 (2009)Spiking Elementary Motion Detector in Neuromorphic Systems., , , , and . Neural Computation, (2018)A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory., , , , , , , and . IEEE Trans. Neural Networks, 14 (5): 1297-1307 (2003)Device mismatch in a neuromorphic system implements random features for regression., , , , and . BioCAS, page 1-4. IEEE, (2015)Characterizing the Firing Properties of an Adaptive Analog VLSI Neuron., , and . BioADIT, volume 3141 of Lecture Notes in Computer Science, page 189-200. Springer, (2004)Neuromorphic Sensory Integration for Combining Sound Source Localization and Collision Avoidance., , , , , and . BioCAS, page 1-4. IEEE, (2019)Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision., , , and . GCPR, volume 13024 of Lecture Notes in Computer Science, page 297-312. Springer, (2021)Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons., , , , and . NIPS, page 1073-1080. Curran Associates, Inc., (2007)Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems., , , and . Proceedings of the IEEE, 102 (9): 1367-1388 (2014)Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems., , and . Neural Networks, (2013)