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Silicon spiking neurons for hardware implementation of extreme learning machines.

, , , , and . Neurocomputing, (2013)

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A 389 TOPS/W, Always ON Region Proposal Integrated Circuit Using In-Memory Computing in 65 nm CMOS., and . IEEE J. Solid State Circuits, 58 (2): 554-568 (February 2023)Nullcline-Based Design of a Silicon Neuron., and . IEEE Trans. Circuits Syst. I Regul. Pap., 57-I (11): 2938-2947 (2010)A 0.7 V low-power fully programmable Gaussian function generator for brain-inspired Gaussian correlation associative memory., , , and . Neurocomputing, (2014)CRAM: Collocated SRAM and DRAM With In-Memory Computing-Based Denoising and Filling for Neuromorphic Vision Sensors in 65 nm CMOS., , and . IEEE Trans. Circuits Syst. II Express Briefs, 67-II (5): 816-820 (2020)Neural Dynamics in Reconfigurable Silicon., , , , , and . IEEE Trans. Biomed. Circuits Syst., 4 (5): 311-319 (2010)Liquid State Machine With Dendritically Enhanced Readout for Low-Power, Neuromorphic VLSI Implementations., , and . IEEE Trans. Biomed. Circuits Syst., 8 (5): 681-695 (2014)Working Solutions for Telehealth in Low Resource Areas., , , , and . MedInfo, volume 192 of Studies in Health Technology and Informatics, page 1243. IOS Press, (2013)A low-power, reconfigurable smart sensor system for EEG acquisition and classification., , , , , and . APCCAS, page 9-12. IEEE, (2012)Architectural exploration for on-chip, online learning in spiking neural networks., , and . ISIC, page 128-131. IEEE, (2014)Real-time Closed Loop Neural Decoding on a Neuromorphic Chip., , , , and . CoRR, (2018)