• The Korean Journal of Physiology and Pharmacology
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• 제11권6호
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• pp.247-251
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• 2007

Changes of single unit activity of CA1 hippocampus region were investigated in anesthetized Mongolian gerbils for six days following transient ischemia. Ischemia was produced immediately before the implantation of micro-wire recording electrodes. In control animals receiving pseudo-ischemic surgery, neither spontaneous neuronal activities ($5.70{\pm}0.4Hz$) nor the number of recorded neurons per animal changed significantly for six days. Correlative firings among simultaneously recorded neurons were weak (correlation coefficient > 0.6) in the control animals. Animals subjected to ischemia exhibited a significant elevation of neural firing at post-ischemic 12 hr ($9.95{\pm}0.9Hz$) and day 1 ($8.48{\pm}0.8Hz$), but a significant depression of activity at post-ischemic day 6 ($1.84{\pm}0.3Hz$) when compared to the activities of non-ischemic control animal. Ischemia significantly (correlation coefficient > 0.6) increased correlative firings among simultaneously recorded neurons, which were prominent especially during post-ischemic days 1, 2 and 6. Although the numbers of spontaneously active neurons recorded from control group varied within normal range during the experimental period, those from ischemic group changed in post-ischemic time-dependent manner. Temporal changes of the number of cells recorded per animal between control group and ischemic group were also significantly different (p = 0.0084, t = 3.271, df = 10). Cresyl violet staining indicated significant loss of CA1 cells at post-ischemic day 7. Overall, we showed post-ischemic time-dependent, differential changes of three characteristics, including spontaneous activity, network relationship and excitability of CA1 cells, suggesting sustained neural functions. Thus, histological observation of CA1 cell death till post-ischemic day 7 may not represent actual neuronal death.

• 제어로봇시스템학회논문지
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• 제7권8호
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• pp.647-655
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• 2001

In adaptive neuro-control, neural networks are used to approximate unknown plant nonlinearities. Until now, most of the studies in the field of controller design for nonlinear system using neural network considers the affine system with fixed number of neurons. This paper considers nonaffine nonlinear systems and on-line variation of the number of neurons. A control law and adaptive laws for neural network weights are established so that the whole system is stable in the sense of Lyapunov. In addition, at the expense of th input, tracking error converges to the arbitrary small neighborhood of the origin. The efficiency of the proposed scheme is shown through simulations ofa simple nonaffine nonlinear system.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2002년도 춘계학술대회논문집
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• pp.273-277
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• 2002

This paper describes an optimal synthesis method of binary neural network(BNN) for an approximation problem of a circular region and synthetic image having four class using a newly proposed learning algorithm. Our object is to minimize the number of connections and neurons in hidden layer by using a Newly Expanded and Truncated Learning Algorithm(NETLA) based on the multilayer BNN. The synthesis method in the NETLA is based on the extension principle of Expanded and Truncated Learning (ETL) learning algorithm using the multilayer perceptron and is based on Expanded Sum of Product (ESP) as one of the boolean expression techniques. The number of the required neurons in hidden layer can be reduced and fasted for learning pattern recognition.. The superiority of this NETLA to other algorithms was proved by simulation.

• KIEE International Transaction on Systems and Control
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• 제2D권2호
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• pp.120-124
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• 2002

A new methodology is presented to diagnose faults in equipment plasma. This is accomplished by using neural networks as a pattern recognizer of radio frequency (rf) impedance match data. Using a match monitor system, the match data were collected. The monitor system consisted mainly of a multifunction board and a signal flow diagram coded by Visual Designer. Plasma anomaly was effectively represented by electrical match positions. Twenty sets of fault-symptom patterns were experimentally simulated with variations in process factors, which include rf source power, pressure, Ar, and $O_$2 flow rates. As an input to neural networks, two means and standard deviations of positions were used as well as a reflected power. Diagnostic accuracy was measured as a function of training factors, which include the number of hidden neurons, the magnitude of initial weights, and two gradients of neuron activation functions. The accuracy was the most sensitive to the number of hidden neurons. Interaction effects on the accuracy were also examined by performing a 2$^$4 full factorial experiment. The experiments were performed on multipole inductively coupled plasma equipment.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
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• pp.1263-1266
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• 2003

One of the hardest problems in implementation of digital neural network are extension of synapses and programmability for relocating neurons. This paper Proposes a new hardware structure to solve these problems. The proposed structure can reconfigure network connections without alteration of basic design, and extend number of synapses attached to one neuron. Also, it is possible to extend the number of neurons and layers by connecting many MPUs(Modular Processing Unit). Generality and extensibility are verified by composing various kinds of Perceptorn and Kohonen networks using the architecture proposed in this paper and the verification performances compares well with HDL simulation results as well as the results of C modelling.

• 대한산업공학회지
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• 제24권1호
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• pp.23-35
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• 1998

This article presents a network flow analysis to form flexible machine cells with minimum intercellular part moves and a neural network model to form part families. The operational sequences and production quantity of the part, and the number of cells and the cell size are taken into considerations for a 0-1 quadratic programming formulation and a network flow based solution procedure is developed. After designing the machine cells, a neural network approach for the integration of part families and the automatic assignment of new parts to the existing cells is proposed. A multi-layer backpropagation network with one hidden layer is used. Experimental results with varying number of neurons in hidden layer to evaluate the role of hidden neurons in the network learning performance are also presented. The comprehensive methodology developed in this article is appropriate for solving large-scale industrial applications without building the knowledge-based expert rule for the cellular manufacturing environment.

• Clinical and Experimental Pediatrics
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• 제45권6호
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• pp.732-742
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• 2002

목 적: 저산소-허혈에 대한 신경독성의 규명 및 xanthine oxidase inhibitor인 allopurinol의 저산소성-허혈 유도에 미치는 방어효과를 조사하기 위하여 본 연구를 시도하였다. 방 법: 신생쥐에 우측 총경동맥을 결찰 및 8% O2의 노출로 허혈 및 저산소 상태를 만든 후 저산소성-허혈이 12-72시간 동안 대뇌의 neuron과 astrocyte에 미치는 영향을 조사하여 신경독성을 규명하고, 또한 xanthine oxidase inhibitor인 allopurinol이 저산소성-허혈 유도에 미치는 영향을 조사하기 위하여 저산소성-허혈 유도 15분 전에 150 mg/kg의 allopurinol을 복강 투여한 다음 투여 후 14일 후에 신생쥐를 희생하여 이의 뇌 조직으로부터 순수분리 배양한 신경 세포에 대하여 세포의 수적 변화와 생존율을 비롯하여 LDH와 단백질합성 및 PKC를 조사하였다. 결 과 : 1) 저산소성-허혈은 저산소-허혈 유도 직후부터 72시간 동안 시간경과에 비례하여 신생쥐의 대뇌 neurons의 수와 세포생존율을 유의하게 감소시켰다. 2) 저산소성-허혈은 저산소-허혈 유도 직후부터 72시간 동안 시간경과에 비례하여 신생쥐의 대뇌 astrocyte의수와 세포생존율을 다소 감소시켰다. 3) 저산소-허혈 유도 14일 후 neuron의 수와 세포 생존율 및 단백질합성은 대조군에 비하여 유의하게 감소하였으나 LDH는 매우 증가하였다. 4) 저산소-허혈 유도 직전 allopurinol 처리에 의하여 neuron의 수와 세포생존율 및 단백질합성은 유의하게 증가하였고 LDH치는 현저히 감소하였다. 5) 배양된 neuron에 대한 PKC 조사에 있어서 허혈 유도 10분에 현저한 PKC치의 증가를 보였으며, allopurinol의 전 처리는 허혈 유도에 의한 PKC치의 증가를 유의하게 감소시켰다. 결 론 : 저산소성-허혈은 신생쥐의 대뇌 신경세포에 독성효과를 나타냈으며 활성산소 제거제인 allopurinol은 세포수 및 세포생존률의 증가에 의한 신경세포의 손상보호를 나타내었고, 단백질합성 증가, LDH치 및 PKC치의 감소로 세포손상에 대한 효과적 방어도 관찰할 수 있었다.

• 전자공학회논문지B
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• 제32B권9호
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• pp.1137-1153
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• 1995

It is not yet possible to solve the optimal number of neurons in hidden layer at neural networks. However, it has been proposed and proved by experiments that there is a limit in increasing the number of neuron in hidden layer, because too much incrememt will cause instability,local minima and large error. This paper proposes a module neural controller with pattern recognition ability to solve the above trade-off problems and to obtain fast learning convergence speed. The proposed neural controller is composed of several module having Multi-layer Perrceptron(MLP). Each module have the less neurons in hidden layer, because it learns only input patterns having a similar learning directions. Experiments with six joint robot manipulator have shown the effectiveness and the feasibility of the proposed the parallel module neural controller with pattern recognition perceptron.

• Laboraroty Animal Research
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• 제34권4호
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• pp.203-210
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• 2018

Stress severely disturbs physiological and mental homeostasis which includes adult neurogenesis in hippocampus. Neurogenesis in hippocampus is a key feature to adapt to environmental changes and highly regulated by multiple cellular signaling pathways. The primary cilium is a cellular organelle, which acts as a signaling center during development and neurogenesis in adult mice. However, it is not clear how the primary cilia are involved in the process of restraint (RST) stress response. Using a mouse model, we examined the role of primary cilia in repeated and acute RST stress response. Interestingly, RST stress increased the number of ciliated cells in the adult hippocampal dentate gyrus (DG). In our RST model, cell proliferation in the DG also increased in a time-dependent manner. Moreover, the analysis of ciliated cells in the hippocampal DG with cell type markers indicated that cells that were ciliated in response to acute RST stress are neurons. Taken together, these findings suggest that RST stress response is closely associated with an increase in the number of ciliated neurons and leads to an increase in cell proliferation.

• 대한물리치료과학회지
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• 제8권2호
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• pp.1005-1013
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• 2001

The present study was designed to investigate the effect of low power GaAlAs laser on spinal Fos expression related to the anti-nociceptive effect of laser stimulation. Low power GaAlAs laser was applied to either acupoint or non-acupoint for 2 hour under light inhalation anesthesia. Spinal Fos expression in the dorsal horn was compared to that obtained in inhalation anesthesia control group. Furthermore, we analyzed the effect of the local treatment of lidocaine on the spinal Fos expression evoked by low power GaAlAs laser stimulation. The results were summarized as follows: 1. In the normal animals, only a few Fos like immunoreactive(Fos-IR) neurons were evident in the lumbar spinal cord dorsal horn. Similarly, following prolonged inhalation anesthesia, Fos-IR neurons were absent in the dorsal horn of the lumbar spinal cord. In animals treated with laser stimulation, Fos immunoreactive neurons were increased mainly in the medial half of ipsilateral laminae I-III at lumbar segments L3-5. These findings directly indicated that prolonged anesthesia used in this study did not affect the Fos expression in the spinal cord dorsal horn of intact animals and low power laser stimulation dramatically produced Fos expression in the spinal cord laminae that are related to the anti-nociceptive effect of laser stimulation. 2. In acupoint stimulated animals, 10mW of laser stimulation, not 3mW and 6mW intensity, significantly increased the number of Fos immunoreactive neurons in the spinal dorsal horn(p<0.05). However, laser stimulation on acupoint more dramatically increased the number of Fos immunoreactive neurons in the spinal cord rather than laser stimulatin on non acupoint. These result suggested that laser stimulatin on acupoint was more effective treatment to activate the spinal neuron than non acupoint stimulation. 3. The local treatment of lidocaine totally suppressed the activity of spinal neurons that were induced by lower power 1aser stimulation. These data indicated that the anti-nociceptive effect of laser stimulation was absolutely dependent upon the peripheral nerve activity in the stimulated location. In conclusion, these data indicate that 10mW of low power laser stimulation into acupoint is capable of inducing the spinal Fos expression in the dorsal horn related to the anti-nociceptive effect of laser stimulation, Furthermore, the induction of spinal Fos expression was totally related to the peripheral nerve activity in the laser stimulated area.