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Neuromorphic encoding system design with chaos based CMOS analog neuron., , , и . CISDA, стр. 1-6. IEEE, (2015)Analog Spike-Timing-Dependent Resistive Crossbar Design for Brain Inspired Computing., , , и . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (1): 38-50 (2018)Prediction of Tourist Consumption Based on Bayesian Network and Big Data., и . Ingénierie des Systèmes d Inf., 24 (5): 491-496 (2019)Energy Efficient Spiking Temporal Encoder Design for Neuromorphic Computing Systems., , , , , , и . IEEE Trans. Multi Scale Comput. Syst., 2 (4): 265-276 (2016)Making neural encoding robust and energy efficient: an advanced analog temporal encoder for brain-inspired computing systems., , и . ICCAD, стр. 115. ACM, (2016)Spike-Time-Dependent Encoding for Neuromorphic Processors., , , , , и . JETC, 12 (3): 23:1-23:21 (2015)Channel estimation in wireless OFDM systems using reservoir computing., , , , , и . CISDA, стр. 1-5. IEEE, (2015)A 16-Channel High-Voltage ASIC with Programmable Delay Lines for Image-Guided Ultrasound Neuromodulation., , и . BioCAS, стр. 419-423. IEEE, (2022)Analog hardware implementation of spike-based delayed feedback reservoir computing system., , , и . IJCNN, стр. 3439-3446. IEEE, (2017)Novel Spike based Reservoir Node Design with High Performance Spike Delay Loop., , , , , и . NANOCOM, стр. 14:1-14:5. ACM, (2016)