Self-Testing Analog Spiking Neuron Circuit

Abstract : Hardware-implemented neural networks are foreseen to play an increasing role in numerous applications. In this paper, we address the problem of post-manufacturing test and self-test of hardware-implemented neural networks. In particular, we propose a self-testable version of a spiking neuron circuit. The self-test wrapper is a compact circuit composed of a low-precision ramp generator and a small digital block. The self-test principle is demonstrated on a spiking neuron circuit design in 0.35µm CMOS technology.
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Submitted on : Tuesday, June 25, 2019 - 2:52:59 PM
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Sarah Ali El-Sayed, Luis Camuñas-Mesa, Bernabe Linares-Barranco, Haralampos-G. Stratigopoulos. Self-Testing Analog Spiking Neuron Circuit. 16th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD 2019), Jul 2019, Lausanne, Switzerland. pp.81-84, ⟨10.1109/SMACD.2019.8795234⟩. ⟨hal-02164969⟩

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