Reliability Analyses of Ultra-Low Voltage Analog Spiking Neurons.
(2025) 2025 32nd International Conference on Mixed Design of Integrated Circuits and System (MIXDES) — Location: Szczecin, Poland (26.June.2025)
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- Abstract
- We investigate the behaviour of a bio-inspired artificial neuron, implementing a simplified Morris-Lecar model under downscaled supply voltages in the subthreshold regime towards ultra-low-power performance. The neuron spike characteristics, including amplitude, period, and typical shape, are analysed as the supply voltage is reduced. We observe a dramatic loss of the typical linear-exponential behaviour in the rising edge of the spike related to a drastic reduction in spike amplitude and an increase in spike period. These are used to define figures-of-merit of spiking operation for ad hoc neuromorphic computations. Subsequently, through Monte Carlo variability analyses, we highlight that ultra-low-voltage neurons are highly sensitive to process variations and prone to statistically likely failures. Our study evidences the challenges of maintaining stability and performance in low-power neuromorphic circuits and the importance of reliability assessments.
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Citations
Brandsteert, G., Van Brandt, L., & Flandre, D. (2025). Reliability Analyses of Ultra-Low Voltage Analog Spiking Neurons. 025 32nd International Conference on Mixed Design of Integrated Circuits and System (MIXDES), p. 156-160. https://doi.org/10.23919/MIXDES66264.2025.11092240