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Tunable device-mismatch effects for stochastic computation in analog/digital neuromorphic computing architectures.

, and . ICECS, page 77-80. IEEE, (2016)

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An ultra-low leakage synaptic scaling homeostatic plasticity circuit with configurable time scales up to 100 kilo-seconds., , and . CoRR, (2017)An adaptive silicon synapse., , and . ISCAS (1), page 81-84. IEEE, (2003)Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain., , , , , , , , , and 5 other author(s). CoRR, (2018)Autonomous Vehicle Guidance Using Analog VLSI Neuromorphic Sensors., and . ICANN, volume 1327 of Lecture Notes in Computer Science, page 811-816. Springer, (1997)Robust state-dependent computation in neuromorphic electronic systems., and . BioCAS, page 1-4. IEEE, (2017)Scaling mixed-signal neuromorphic processors to 28 nm FD-SOI technologies., and . BioCAS, page 552-555. IEEE, (2016)The Importance of Space and Time for Signal Processing in Neuromorphic Agents: The Challenge of Developing Low-Power, Autonomous Agents That Interact With the Environment., and . IEEE Signal Process. Mag., 36 (6): 16-28 (2019)Computation in Neuromorphic Analog VLSI Systems.. WIRN, page 3-20. Springer, (2001)Wide dynamic range weights and biologically realistic synaptic dynamics for spike-based learning circuits., , , and . ISCAS, page 2491-2494. IEEE, (2016)Synaptic Dynamics in Analog VLSI., and . Neural Comput., 19 (10): 2581-2603 (2007)