Abstract
Low-power neuromorphic hardware is indispensable for edge computing. In this study, we report the simulation results of a spiking neuron circuit. The circuit based on the Izhikevich neuron model is designed to reproduce various types of spikes and is optimized for low-voltage operation. Simulation results indicate that the proposed circuit successfully operates in the subthreshold region and can be utilized for reservoir computing.
This study was supported in part by the Cooperative Research Project Program of the Research Institute of Electrical Communication, Tohoku University; JSPS KAKENHI (Grant Nos, 18H03325 and 20H00596); JST PRESTO (Grant Number JPMJPR18MB); and JST CREST (Grant Number JPMJCR19K3), Japan.
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Sato, S. et al. (2021). A Subthreshold Spiking Neuron Circuit Based on the Izhikevich Model. In: Farkaš, I., Masulli, P., Otte, S., Wermter, S. (eds) Artificial Neural Networks and Machine Learning – ICANN 2021. ICANN 2021. Lecture Notes in Computer Science(), vol 12895. Springer, Cham. https://doi.org/10.1007/978-3-030-86383-8_14
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DOI: https://doi.org/10.1007/978-3-030-86383-8_14
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