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دسته بندی:
شبکه های نورونی - neuron-networks
سال انتشار:
2020
عنوان انگلیسی مقاله:
Implementation of homeostasis functionality in neuron circuit using doublegate device for spiking neural network
ترجمه فارسی عنوان مقاله:
اجرای عملکرد هموستاز در مدار نورون با استفاده از دستگاه دروازه دو تایی برای شبکه عصبی spiking
منبع:
Sciencedirect - Elsevier - Solid State Electronics, 165 (2020) 107741. doi:10.1016/j.sse.2019.107741
نویسنده:
Sung Yun Wooa, Kyu-Bong Choia, Jangsaeng Kima, Won-Mook Kanga, Chul-Heung Kima, Young-Tak Seoa, Jong-Ho Baeb, Byung-Gook Parka, Jong-Ho Leea,
چکیده انگلیسی:
The homeostatic neuron circuit using a double-gate MOSFET is proposed to imitate a homeostasis functionality
of a biological neuron in spiking neural networks (SNN) based on a spike-timing dependent plasticity (STDP).
The threshold voltage (Vth) of the double-gate MOSFET is controlled by independent two-gate biases (VG1 and
VG2). By using Vth change of the double-gate MOSFET in the neuron circuits, the fire rate of the output neuron is
controlled. The homeostasis functionality is implemented by the operation of multi-neuron system based on the
proposed neuron circuit. Through the SNN based on STDP using MNIST datasets, it is demonstrated that the
recognition rate (~91%) of the SNN with the proposed homeostasis functionality is higher than that (~79%) of
the SNN without the proposed homeostasis functionality. Also, the results of the recognition rate with the
variations (σ/μ < 0.5) of the synaptic devices and the initial Vth of neuron circuits show a low degradation
(1 ~ 3%) in the recognition rate. Thus, it is demonstrated that the homeostasis functionality of the proposed
neuron circuit has the immunity to variations (σ/μ < 0.5) of the synaptic devices and the neuron circuits in the
SNN based on STDP.
Keywords: Double-gate MOSFET | Neuron circuit | Homeostasis functionality | Pattern recognition | Spiking neural networks (SNNs)
قیمت: رایگان
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