Novel Algorithm to Suppress Random Pulse Interference in Spikes
LIU Xing-yu1
WANG Yong-yi2
WAN Hong1
SHANG Zhi-gang1
1.School of Electrical Engineering,Zhengzhou University,Zhengzhou 450052,China2.School of Information Science and Engineering,Central South University,Changsha 410012,China
摘要：Spikes detection and sorting play an important role in study of neural information coding. Spikes were generally obtained by threshold detection after filtered in traditional detection, which failed to suppress the random pulse interference (RPI), In this paper, a novel algorithm was provided to suppress RPI using integrated feature. The raw neural signals from the primary visual cortex in rats were detected with microelectrode array. After the feature differences between spikes and RPls were compared, the features which include waveform and non-waveform features were extracted respectively, and then the integrated feature was established based on Fisher's discrimi nant ratio to separate between spikes and RPls. The test results of simulation and experiment show that the separability capability of the integrated feature is nearly two times greater than the individual feature, the average correct recognition rate of spikes and RPls is over 93％, and the detection rate of spike is effectively improved.
机标关键词：
分类号：TP274(自动化技术及设备)
论文发表日期：2019-12-30
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：7( 155-161 )
英文信息