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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 曹恆偉 | |
dc.contributor.author | Yu-Ting Lin | en |
dc.contributor.author | 林侑廷 | zh_TW |
dc.date.accessioned | 2021-06-16T03:59:25Z | - |
dc.date.available | 2020-02-03 | |
dc.date.copyright | 2015-02-03 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-11-21 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/55380 | - |
dc.description.abstract | 神經動作電位波形分類(spike sorting)為神經電生理領域中相當重要的一個議題。目前已知演算法均無法正確的分類動作電位波形,不同程度的分類錯誤(spike sorting error)均有可能發生,而這些錯誤對於神經訊號的各種分析也會造成各種不同程度的影響,如因果性、消息量(Entropy)等等。放電頻率的分析是了解神經訊號特性的重要基礎,動作電位分類的錯誤究竟會在分析放電頻率上產生多大影響,是本論文關心的議題,我們將利用時頻分析的方法,針對動作電位分類錯誤是否會破壞時頻圖的特徵來進行研究。
因為動作電位訊號的非等間隔取樣特性,我們無法利用一般應用於均勻間隔取樣的時頻分析方式來進行分析。近幾年來在天文領域中,發展出了針對非等間隔取樣的行星週期訊號之時頻分析方法:加權小波Z轉換(Weighted Wavelet Z-transform, WWZ )。在本研究當中,我們將此方法引進神經科學領域當中,驗證其在神經動作電位訊號時頻分析的可靠性。 我們將試著比較不同種類的分類誤差模型與錯誤率的動作電位訊號之時頻圖,歸納出給予神經科學家在神經動作電位分類上的建議。 | zh_TW |
dc.description.abstract | Spike sorting as a topic in the field of neuron science is a crucial portion on analyzing neuronal activities. For various algorithms and conditions, the spike sorting is impossible free of errors during the classification. The spike sorting errors produce a great impact on the analysis of neural signals, such as causality and entropy. Here, we concerned on the effects of the spike sorting errors on influencing the frequency characteristic of a spike train whenever a time-frequency analysis used to be applied on the analysis of the pattern on spectrogram of spike train.
In the time-frequency analysis, it is not straight forward for an uneven spike train which means that the sampling intervals are not identical, for instance, Short Time Fourier Transform (STFT) cannot be directly applied. Fortunately, a new method of time–frequency analysis for un-evenly sampled signals called “Weighted Wavelet Z-transform (WWZ)” has been developed for analyzing the period of a pulsar in astronomy in recent. In this study, we will introduce WWZ to neuron science and demonstrate its performance and reliability for time-frequency analysis on neural spike train through simulations. We construct some neural spike train model and introduce several types of errors on the proposed models. Then using WWZ to analyze them, we further compare the spectrograms with difference spike sorting errors. Through this study, our observation results could be a useful guideline for neuroscientists on spike sorting approach. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T03:59:25Z (GMT). No. of bitstreams: 1 ntu-103-R01942058-1.pdf: 4485623 bytes, checksum: 1c0ad5fe24cd8de9812cf53c806e7d34 (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 目錄
誌謝 i 摘要 ii ABSTRACT iii 目錄 v 圖目錄 viii 表目錄 xi 第一章 緒論 1 1.1 研究動機與目的 1 1.2 論文架構 2 第二章 神經電訊號 3 2.1 神經訊息的傳導 3 2.1.1 神經細胞 3 2.1.2 神經元的膜電位與動作電位 4 2.2 神經電訊號 5 2.2.1 量測與紀錄方式 5 2.2.2 訊號處理與動作電位來源分類 6 2.2.3 動作電位訊號分類錯誤 8 2.2.4 動作電位訊號特性 10 第三章 加權小波Z轉換 11 3.1 小波分析的原理 11 3.2 加權小波Z轉換 12 3.2.1 小波轉換的缺點 12 3.2.2 加權小波Z轉換 14 3.2.3 加權小波振幅 17 3.2.4 模擬訊號的WWZ與WWA檢驗分析 18 3.3 神經動作電位訊號與加權小波Z轉換 19 3.3.1 核密度估計法(kernel density estimation) 19 3.3.2 訊號間隔法(Interspike intervals) 22 3.3.3 模擬訊號使用KDE與ISIs的WWZ分析 23 第四章 神經訊號模型 25 4.1 產生人造動作電位放電時間序位流程 25 4.2 人造動作電位放電時間序列方法 26 4.2.1 卜瓦松模型 26 4.2.1.1. 卜瓦松分布 26 4.2.1.2. 卜瓦松程序 27 4.2.1.3. 利用卜瓦松程序產生動作電位時間序列 27 4.2.2 弦波模型(Sinusoid model) 29 4.3 人造動作電位分類錯誤模型 32 4.3.1 False Positive 錯誤模型 33 4.3.2 False Negative錯誤模型 35 第五章 神經訊號之時頻分析 37 5.1 時頻圖分析方式 37 5.1.1 峰值信噪比 37 5.1.2 頻率趨勢線位移誤差 38 5.1.3 相位差 39 5.2 時頻圖模擬 41 5.2.1 模擬環境 41 5.2.2 模擬訊號時頻圖 42 5.2.3 時頻圖分析統計 49 5.2.4 統計結果 57 5.3 真實老鼠神經動作電位訊號分析 59 第六章 結論與未來展望 63 6.1 結論 63 6.2 未來展望 64 參考文獻 66 | |
dc.language.iso | zh-TW | |
dc.title | 動作電位訊號分類錯誤對於放電時間序列的頻率特性之影響 | zh_TW |
dc.title | Effects of Sorting Error on the Frequency Characteristics of a Spike Train | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-1 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 蔡孟利 | |
dc.contributor.oralexamcommittee | 嚴健彰,丁建均 | |
dc.subject.keyword | 神經動作電位,神經動作電位分類錯誤,非等間隔取樣訊號,時頻分析,加權小波Z轉換, | zh_TW |
dc.subject.keyword | Action Potential,Spike Sorting Error,Time-Frequency Analysis,Weighted Wavelet Z-transfrom, | en |
dc.relation.page | 68 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2014-11-22 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
顯示於系所單位: | 電信工程學研究所 |
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