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- W3045987245 abstract "It has always been a challenge in the neuromorphic field to systematically translate biological models into analog electronic circuitry. In this paper, a generalized circuit design platform is introduced where biological models can be conveniently implemented using CMOS circuitry operating in strong-inversion. The application of the method is demonstrated by synthesizing a relatively complex two-dimensional (2-D) nonlinear neuron model. The validity of our approach is verified by nominal simulated results with realistic process parameters from the commercially available AMS 0.35 um technology. The circuit simulation results exhibit regular spiking responses in good agreement with their mathematical counterpart." @default.
- W3045987245 created "2020-08-03" @default.
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- W3045987245 date "2020-07-28" @default.
- W3045987245 modified "2023-09-27" @default.
- W3045987245 title "A Generalized Strong-Inversion CMOS Circuitry for Neuromorphic Applications." @default.
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