대한의용생체공학회:학술대회논문집 (Proceedings of the KOSOMBE Conference)
- 대한의용생체공학회 1998년도 추계학술대회
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- Pages.207-208
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- 1998
에너지연산자와 신경회로망을 이용한 세포외신경신호외 검출 및 분류
Detection and Classification of Extracellular Action Potential Using Energy Operator and Artificial Neural Network
- Kim, Kyung-Hwan (School of Electrical Engineering, College of Engineering, Seoul National University) ;
- Kim, Sung-June (School of Electrical Engineering, College of Engineering, Seoul National University)
- 발행 : 1998.11.20
초록
Classification of extracellularly recorded action potential into each unit is an important procedure for further analysis of spike trains as point process. We utilize feedforward neural network structures, multilayer perceptron and radial basis function network to implement spike classifier. For the efficient training of classifiers, nonlinear energy operator that can trace the instantaneous frequency as well as the amplitude of the input signal is used. Trained classifiers shows successful operation, up to 90% correct classification was possible under 1.2 of signal-to-noise ratio.
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