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A New Stochastic Computing Methodology for Efficient Neural Network Implementation.

, , , , and . IEEE Trans. Neural Networks Learn. Syst., 27 (3): 551-564 (2016)

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Stochastic-Based Implementation of Reservoir Computers., , , and . IWANN (2), volume 9095 of Lecture Notes in Computer Science, page 185-196. Springer, (2015)High-Density Liquid-State Machine Circuitry for Time-Series Forecasting., , , , and . Int. J. Neural Syst., 26 (5): 1550036:1-1550036:12 (2016)A New Stochastic Computing Methodology for Efficient Neural Network Implementation., , , , and . IEEE Trans. Neural Networks Learn. Syst., 27 (3): 551-564 (2016)Low-cost hardware implementation of Reservoir Computers., , , and . PATMOS, page 1-5. IEEE, (2014)A Stochastic Spiking Neural Network for Virtual Screening., , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 29 (4): 1371-1375 (2018)Stochastic hardware implementation of Liquid State Machines., , , , and . IJCNN, page 1128-1133. IEEE, (2016)Efficient parallel implementation of reservoir computing systems., , , , , , and . Neural Comput. Appl., 32 (7): 2299-2313 (2020)Digital Implementation of a Single Dynamical Node Reservoir Computer., , , , , , and . IEEE Trans. Circuits Syst. II Express Briefs, 62-II (10): 977-981 (2015)FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting., , , , and . Comput. Intell. Neurosci., (2016)Noise tolerant probabilistic logic for statistical pattern recognition applications., , , , , , , , , and . Integr. Comput. Aided Eng., 24 (4): 351-365 (2017)