燕山大学学报2024，Vol.48Issue(3)：255-264,10.DOI:10.3969/j.issn.1007-791X.2024.03.008
太赫兹辐射调控神经元突触传递的动力学特征提取方法
A feature extraction method for dynamics of synaptic transmission in terahertz radiating on neuron
摘要
Abstract
Postsynaptic potentials are vital transmitters of information conveyed by neurons.In neuroscience research,kinetic analysis of this signal is a widely used technique.Nonetheless,conventional analysis methods depend on manual extraction of kinetic eigenvalues and are limited in terms of the analyzed data.To overcome this limitation,a kinetic feature extraction approach for neuronal synaptic transmission is proposed.In this approach,an efficient data extraction is achieved through the utilization of a low-pass filter.This method lessens the amount and intricacy of data calculation.Similarly,a median filtering algorithm is added to remove random noise and stimulus artifacts present in the signal.Mediation also corrects the baseline drift.Finally,slope eigenvalues of the post-synaptic potential signal waveforms are identified using curve-fitting.This allows for the data visualization and analysis of changes in the trend of post-synaptic potential signals.Technical terms are explained when initially introduced.The feature extraction method typically has an average absolute percentage error of approximately 5％.Meanwhile,the magnitude eigenvalues'average absolute percentage error is typically around 3％.When the 95％confidence interval is applied,the waveform's measurement error is reduced,resulting in higher positive detection rates for effective data,with a rate of 98％.These findings demonstrate that the feature extraction method effectively extracts data from signals while ensuring the accuracy of feature value extractions,thus reducing errors that may occur during manual extraction.The method's feasibility is confirmed through neuronal response data,while suggesting the hypothesis of terahertz modulation on neuronal synaptic transmission.关键词
太赫兹/突触传递/突触后电位/特征提取Key words
terahertz/synaptic transmission/postsynaptic potential/feature extraction分类
信息技术与安全科学引用本文复制引用
马少卿,龚士香,路承彪,李小俚,李英伟..太赫兹辐射调控神经元突触传递的动力学特征提取方法[J].燕山大学学报,2024,48(3):255-264,10.基金项目
国家自然科学基金资助项目(61827811) （61827811）
河北省自然科学基金资助项目(F2020203099) （F2020203099）
河北省重点实验室资助项目(202250701010046) （202250701010046）
河北省引进留学人员资助项目(C20200364) （C20200364）
