Low-power and low-variability artificial neuronal devices are highly desired for high-performance neuromorphic computing.In this paper,an oscillation neuron based on a low-variability Ag nanodots(NDs)threshold switchi...Low-power and low-variability artificial neuronal devices are highly desired for high-performance neuromorphic computing.In this paper,an oscillation neuron based on a low-variability Ag nanodots(NDs)threshold switching(TS)device with low operation voltage,large on/off ratio and high uniformity is presented.Measurement results indicate that this neuron demonstrates self-oscillation behavior under applied voltages as low as 1 V.The oscillation frequency increases with the applied voltage pulse amplitude and decreases with the load resistance.It can then be used to evaluate the resistive random-access memory(RRAM)synaptic weights accurately when the oscillation neuron is connected to the output of the RRAM crossbar array for neuromorphic computing.Meanwhile,simulation results show that a large RRAM crossbar array(>128×128)can be supported by our oscillation neuron owing to the high on/off ratio(>10^(8))of Ag NDs TS device.Moreover,the high uniformity of the Ag NDs TS device helps improve the distribution of the output frequency and suppress the degradation of neural network recognition accuracy(<1%).Therefore,the developed oscillation neuron based on the Ag NDs TS device shows great potential for future neuromorphic computing applications.展开更多
In this paper, based on a stochastic mode! for inputs and weights, and in view of the disturbance of correlative and large input and weight errors, a general algorithm to obtain the output error characteristics of a c...In this paper, based on a stochastic mode! for inputs and weights, and in view of the disturbance of correlative and large input and weight errors, a general algorithm to obtain the output error characteristics of a class of multilayered perceptrons with threshold functions is proposed by using statistical approach. Furthermore, the formula to calculate the robustness of the networks is also given. The result of computer simulation indicates the correctness of the algorithm.展开更多
Based on the model of a formal neuron proposed by McCulloch and Pitts,a kind ofneural circuit,which is a CMOS Variable Threshold Logic(VTL)circuit,is given in this paperconsidering the features of the binary image pro...Based on the model of a formal neuron proposed by McCulloch and Pitts,a kind ofneural circuit,which is a CMOS Variable Threshold Logic(VTL)circuit,is given in this paperconsidering the features of the binary image processing system.The theoretical analysis,andthe simulations for the building block circuits such as D/A converters,comparator and so on aregiven.The layout design of the whole circuit are also given.The binary image processing can berealized by using the VTL circuit combined with its external auxiliary circuits.展开更多
In certain cases, noises can improve signal transmission or signal processing. This phenomenon is the so-called stochastic resonance. In this paper, we firstly present two theorems to prove that the noisy threshold ne...In certain cases, noises can improve signal transmission or signal processing. This phenomenon is the so-called stochastic resonance. In this paper, we firstly present two theorems to prove that the noisy threshold neuron shows stochastic resonance in terms of the probability of correct reception. Secondly, we analytically discuss stochastic resonance effects and give the probability-optimal noise levels for four representative noises. Finally, we discuss the stochastic gradient ascent learning law, which can be used to find the probability-optimal noise levels. We also present our simulation results for the four representative noises. These results indicate that stochastic resonance is favorable both in biological neurons and in signal processing.展开更多
目的：研究癌症痛大鼠模型中镜像痛现象。方法：体重180～200g的雌性SD大鼠随机分为肿瘤组、假手术组和正常组（每组8只）。术前1d～术后15d内，隔天以Von Frey纤维测定其手术侧足（左后足）和非手术侧足（右后足）的机械痛闾，并进行...目的：研究癌症痛大鼠模型中镜像痛现象。方法：体重180～200g的雌性SD大鼠随机分为肿瘤组、假手术组和正常组（每组8只）。术前1d～术后15d内，隔天以Von Frey纤维测定其手术侧足（左后足）和非手术侧足（右后足）的机械痛闾，并进行术前、术后及组间比较；术后15d时，以25％乌拉坦0.6ml／100g进行麻醉后，以60g Von Frey纤维刺激各组大鼠右后足（非肿瘤侧或非手术侧后足）2min，2h后灌流取材，进行免疫组织化学染色，计数其L5～L6脊髓背角c-fos免疫反应阳性神经细胞数量。结果：肿瘤组手术侧和非手术侧足的机械痛阈均明显下降，显著低于假手术组（P〈0．01）和正常组（P〈0．01），而假手术组与正常组之间没有显著性差异（P〉0．05）。在刺激其右后足后，肿瘤组鼠右侧脊髓背角c-fos免疫阳性神经细胞数量明显高于假手术组（P〈0．01）和正常组（P〈0．01），而假手术组和正常组之间没有显著性差异。结论：癌症痛大鼠模型中存在镜像痛现象，并对伤害性刺激的反应增强。展开更多
基金supported in part by China Key Research and Development Program(2016YFA0201800)the National Natural Science Foundation of China(91964104,61974081)。
文摘Low-power and low-variability artificial neuronal devices are highly desired for high-performance neuromorphic computing.In this paper,an oscillation neuron based on a low-variability Ag nanodots(NDs)threshold switching(TS)device with low operation voltage,large on/off ratio and high uniformity is presented.Measurement results indicate that this neuron demonstrates self-oscillation behavior under applied voltages as low as 1 V.The oscillation frequency increases with the applied voltage pulse amplitude and decreases with the load resistance.It can then be used to evaluate the resistive random-access memory(RRAM)synaptic weights accurately when the oscillation neuron is connected to the output of the RRAM crossbar array for neuromorphic computing.Meanwhile,simulation results show that a large RRAM crossbar array(>128×128)can be supported by our oscillation neuron owing to the high on/off ratio(>10^(8))of Ag NDs TS device.Moreover,the high uniformity of the Ag NDs TS device helps improve the distribution of the output frequency and suppress the degradation of neural network recognition accuracy(<1%).Therefore,the developed oscillation neuron based on the Ag NDs TS device shows great potential for future neuromorphic computing applications.
基金National Science Foundation of Chinathe Doctoral Fund of the State Education Commission of China
文摘In this paper, based on a stochastic mode! for inputs and weights, and in view of the disturbance of correlative and large input and weight errors, a general algorithm to obtain the output error characteristics of a class of multilayered perceptrons with threshold functions is proposed by using statistical approach. Furthermore, the formula to calculate the robustness of the networks is also given. The result of computer simulation indicates the correctness of the algorithm.
文摘Based on the model of a formal neuron proposed by McCulloch and Pitts,a kind ofneural circuit,which is a CMOS Variable Threshold Logic(VTL)circuit,is given in this paperconsidering the features of the binary image processing system.The theoretical analysis,andthe simulations for the building block circuits such as D/A converters,comparator and so on aregiven.The layout design of the whole circuit are also given.The binary image processing can berealized by using the VTL circuit combined with its external auxiliary circuits.
文摘In certain cases, noises can improve signal transmission or signal processing. This phenomenon is the so-called stochastic resonance. In this paper, we firstly present two theorems to prove that the noisy threshold neuron shows stochastic resonance in terms of the probability of correct reception. Secondly, we analytically discuss stochastic resonance effects and give the probability-optimal noise levels for four representative noises. Finally, we discuss the stochastic gradient ascent learning law, which can be used to find the probability-optimal noise levels. We also present our simulation results for the four representative noises. These results indicate that stochastic resonance is favorable both in biological neurons and in signal processing.
文摘目的：研究癌症痛大鼠模型中镜像痛现象。方法：体重180～200g的雌性SD大鼠随机分为肿瘤组、假手术组和正常组（每组8只）。术前1d～术后15d内，隔天以Von Frey纤维测定其手术侧足（左后足）和非手术侧足（右后足）的机械痛闾，并进行术前、术后及组间比较；术后15d时，以25％乌拉坦0.6ml／100g进行麻醉后，以60g Von Frey纤维刺激各组大鼠右后足（非肿瘤侧或非手术侧后足）2min，2h后灌流取材，进行免疫组织化学染色，计数其L5～L6脊髓背角c-fos免疫反应阳性神经细胞数量。结果：肿瘤组手术侧和非手术侧足的机械痛阈均明显下降，显著低于假手术组（P〈0．01）和正常组（P〈0．01），而假手术组与正常组之间没有显著性差异（P〉0．05）。在刺激其右后足后，肿瘤组鼠右侧脊髓背角c-fos免疫阳性神经细胞数量明显高于假手术组（P〈0．01）和正常组（P〈0．01），而假手术组和正常组之间没有显著性差异。结论：癌症痛大鼠模型中存在镜像痛现象，并对伤害性刺激的反应增强。
