Compensated Current Mirror Neuron Circuits for Linear Charge Integration with Ultralow Static Power in Spiking Neural Networks
Year: 2025
Type: article
Abstract: Spiking Neural Networks In article number 2400673, Jonghyuk Park, Sungjoon Kim, and Woo Young Choi present a neuron circuit that optimizes vector-matrix multiplication performance in spiking neural networks (SNNs) while ensuring low-power consumption. This research validates the achievement of high SNN system accuracy through a CMOS neuron circuit arranged to prevent non-linear operations that occur during the integration of massive synaptic arrays and neurons.
Source: Advanced Intelligent Systems
Authors: Jonghyuk Park, Sungjoon Kim, Woo Young Choi
Institution: Seoul National University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,970
OpenAlex ID: W4407594652