http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
A Filter Model as Input Section of the ITD Model for Sound Source Localization in the Barn Owl
Masaya KYOUGOKU,Yoshifumi SEKINE 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
The sound localization of barn owls with respect to horizontal and vertical direction is based on analysis of the interaural differences in arrival time and the intensity of sound, respectively. So, we are studying the sound source localization system of birds in the field of engineering. In this paper we suggest a filter model, which analyzes algorithms in bird’s brains. The model outputs waveforms with information (time or intensity difference) by using a hardware neuron model. As a result, it is shown in the filter model that by changing the parameters of the synapse, information can be selected from the mixed signal.
Hiroyuki Saito,Yoshifumi Sekine 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
Many kinds of microelectrodes for recording have been fabricated using MEMS technology. It is difficult, however, for conventional microelectrodes to record the signals of closely spaced neurons. In addition, the tip of any implantable microelectrode must be sharp so that it only touches a single neuron. In this paper, we focus on the fabrication of needle-shaped implantable microelectrode array for the neural recording. We use a HF-HNO₃-CH₃COOH solution for isotropically wet etching of silicon to fabricate implantable microelectrodes in which the tip of the implantable microelectrodes is sharp. We show an etching time vs. diameter characteristics of the tip and bottom using a HF-HNO₃-CH₃COOH solution. After the wet etching, the implantable microelectrodes have a needle shape. As a result, we show the effectiveness of our microelectrode array fabrication process.
The Hardware CPG Model for Humanoid Robot HOAP2
Shiho Akazawa,Yoshifumi Sekine 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
In recent years, the development of humanoid robots is advancing rapidly. Development of robots, which are learning, is being widely improved, for example robots, which can work in harmony with humans. However, for the humanoid robot’s information processing system to simulate a human being’s brain function, research in neural networking must be greatly advanced. We are researching to control robots using pulse-type hardware neuron model modeling the pulse form of an actual human brain. In this paper, we propose the hardware CPG (Central Pattern Generator) model using software for humanoid robot HOAP2. We clarify the stability in the step movement by using the hardware CPG model.