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An auto-scaling wide dynamic range current to frequency converter for real-time monitoring of signals in neuromorphic systems., and . BioCAS, page 160-163. IEEE, (2016)A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)., , , and . CoRR, (2017)Adaptive cruise control method based on improved grey prediction., , , , and . J. Intell. Fuzzy Syst., 44 (1): 543-553 (2023)2022 roadmap on neuromorphic devices and applications research in China., , , , , , , , , and 34 other author(s). Neuromorph. Comput. Eng., 2 (4): 42501 (December 2022)DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor., , , , , , and . Neuromorph. Comput. Eng., 4 (1): 14003 (March 2024)FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites., , , , and . Briefings Bioinform., (2022)A Multi-Source Information Learning Framework for Airbnb Price Prediction., , , , and . ICDM (Workshops), page 1-7. IEEE, (2022)Heterogeneous Graph Convolutional Network integrates Multi-modal Similarities for Drug-Target Interaction Prediction., , , , , and . BIBM, page 137-140. IEEE, (2021)A Clock-Less Ultra-Low Power Bit-Serial LVDS Link for Address-Event Multi-chip Systems., and . ASYNC, page 93-101. IEEE Computer Society, (2018)Wide dynamic range weights and biologically realistic synaptic dynamics for spike-based learning circuits., , , and . ISCAS, page 2491-2494. IEEE, (2016)