CMOS Implementation of Neuron Models for an Artificial Auditory Neural Network
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概要
- 論文の詳細を見る
In this paper, we propose the CMOS implementation of neuron models for an artificial auditory neural network. We show that when voltage is added directly to the control terminal of the basic circuit of the hardware neuron model, a change in the output firing is observed. Next, based on this circuit, a circuit that changes with time is added to the control terminal of the basic circuit of the hardware neuron model. As a result, a neuron model is constructed with ON firing, adaptation firing, and repetitive firing using CMOS. Furthermore, an improved circuit of a neuron model with OFF firing using CMOS which has been improved from the previous model is also constructed.
- 社団法人電子情報通信学会の論文
- 2003-02-01
著者
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Sekine Yoshifumi
Department Of Electronic Engineering College Of Science And Technology Nihon University
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Saeki Katsutoshi
Department Of Electronics And Computer Science College Of Science And Technology Nihon University
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SEKINE Yoshifumi
Deparement of Electronics and Computer Science,College of Science and Technology,Nihon University
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SAEKI Katsutoshi
Department of Electronics & Computer Science, College of Science & Technology, Nihon University
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SEKINE Yoshifumi
Department of Electronics and Computer Science,College of Science and Technology,Nihon University
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- CMOS Implementation of a Multiple-Valued Memory Cell Using Λ-Shaped Negative-Resistance Devices(Selected Papers from the 16th Workshop on Circuits and Systems in Karuizawa)
- CMOS Implementation of Neuron Models for an Artificial Auditory Neural Network
- A Fundamental Consideration for Phase Noise Measurement of Extremely Low Phase Noise Oscillator
- Pulse-type hardware chaotic neuron model and its bifurcation phenomena
- A Minimal Modeling of Neuronal Burst-Firing Based on Bifurcation Analysis