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Neural Dynamics in Reconfigurable Silicon., , , , , and . IEEE Trans. Biomed. Circuits Syst., 4 (5): 311-319 (2010)A 128 channel 290 GMACs/W machine learning based co-processor for intention decoding in brain machine interfaces., , and . ISCAS, page 3004-3007. IEEE, (2015)Tracking Fast by Learning Slow: An Event-based Speed Adaptive Hand Tracker Leveraging Knowledge in RGB Domain., , , and . CoRR, (2023)Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions., , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (1): 6-27 (2018)Feature extraction techniques for low-power ambulatory wheeze detection wearables., , and . EMBC, page 4574-4577. IEEE, (2017)Cortical motor intention decoding on an analog co-processor with fast training for non-stationary data., , , and . BioCAS, page 1-4. IEEE, (2017)Spike-based tactile pattern recognition using an extreme learning machine., , , , and . BioCAS, page 1-4. IEEE, (2015)Random projection for spike sorting: Decoding neural signals the neural network way., , , and . BioCAS, page 1-4. IEEE, (2015)Computation using mismatch: Neuromorphic extreme learning machines., , , and . BioCAS, page 294-297. IEEE, (2013)A learning digital computer., , , and . DAC, page 617-618. ACM, (2009)