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Item 987654321/104644
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請使用永久網址來引用或連結此文件:
https://ir.lib.ncu.edu.tw/handle/987654321/104644
題名:
Effects of spike sorting error on the Granger causality index
作者:
單維彰
;
Shao, Pei-Chiang
;
Tseng, Wan-Ting
;
Kuo, Chung-Chih
;
Shann, Wei-Chang
;
Tsai, Meng-Li
;
Yen, Chien-Chang
貢獻者:
文學院師資培育中心
關鍵詞:
Action Potentials - physiology
;
Algorithms
;
Biological and medical sciences
;
Brain - physiology
;
Central nervous system
;
Computer Simulation
;
Electrodiagnosis. Electric activity recording
;
Electrophysiology
;
Exact sciences and technology
;
Fundamental and applied biological sciences. Psychology
;
Granger causality index
;
Inference from stochastic processes
;
time series analysis
;
Investigative techniques, diagnostic techniques (general aspects)
;
Mathematics
;
Medical sciences
;
Models, Neurological
;
Nervous system
;
Neurons - physiology
;
Probability and statistics
;
Sciences and techniques of general use
;
Spike sorting
;
Statistics
;
Vector autoregressive model
;
Vertebrates: nervous system and sense organs
日期:
2013-10-01
上傳時間:
2026-04-23 11:54:31 (UTC+8)
出版者:
Elsevier Ltd.;Kidlington: Elsevier Ltd
摘要:
摘要: Accurately sorting individual neurons is a technical challenge and plays an important role in identifying information flow among neurons. Spike sorting errors are almost unavoidable and can roughly be divided into two types: false positives (FPs) and false negatives (FNs). This study investigates how FPs and FNs affect results of the Granger causality (GC) analysis, a powerful method for detecting causal interactions between time series signals. We derived an explicit formula based on a first order vector autoregressive model to analytically study the effects of FPs and FNs. The proposed formula was able to reveal the intrinsic properties of the GC, and was verified by simulation studies. The effects of FPs and FNs were further evaluated using real experimental data from the ventroposterior medial nucleus of the thalamus. Some practical suggestions for spike sorting are also provided in this paper.
其他題名: Neural Netw
出版者: Kidlington: Elsevier Ltd
出版日期: 2013-10-01
出處: Neural networks, 2013-10, Vol.46, p.249-259
資源來源: Elsevier ScienceDirect Journals Complete - Autoholdings
版權: 2013 Elsevier Ltd
版權: 2014 INIST-CNRS
版權: Copyright © 2013 Elsevier Ltd. All rights reserved.
識別號: ISSN: 0893-6080
識別號: ISSN: 1879-2782
識別號: EISSN: 1879-2782
識別號: DOI: 10.1016/j.neunet.2013.06.001
識別號: PMID: 23845518
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