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Energy efficient analog spiking temporal encoder with verification and recovery scheme for neuromorphic computing systems.

, , , and . ISQED, page 138-143. IEEE, (2017)

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Neuromorphic encoding system design with chaos based CMOS analog neuron., , , and . CISDA, page 1-6. IEEE, (2015)Channel estimation in wireless OFDM systems using reservoir computing., , , , , and . CISDA, page 1-5. IEEE, (2015)Spike-Time-Dependent Encoding for Neuromorphic Processors., , , , , and . JETC, 12 (3): 23:1-23:21 (2015)Energy efficient analog spiking temporal encoder with verification and recovery scheme for neuromorphic computing systems., , , and . ISQED, page 138-143. IEEE, (2017)Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing., , , , , and . T-SUSC, 3 (2): 112-125 (2018)Design and Analysis of Real Time Spiking Neural Network Decoder for Neuromorphic Chips., , and . ICONS, page 15:1-15:4. ACM, (2019)Making neural encoding robust and energy efficient: an advanced analog temporal encoder for brain-inspired computing systems., , and . ICCAD, page 115. ACM, (2016)Energy Efficient Spiking Temporal Encoder Design for Neuromorphic Computing Systems., , , , , , and . IEEE Trans. Multi-Scale Computing Systems, 2 (4): 265-276 (2016)Prediction of Tourist Consumption Based on Bayesian Network and Big Data., and . Ingénierie des Systèmes d'Information, 24 (5): 491-496 (2019)Interspike-Interval-Based Analog Spike-Time-Dependent Encoder for Neuromorphic Processors., , , , and . IEEE Trans. VLSI Syst., 25 (8): 2193-2205 (2017)