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Analyzing Neural Time Series Data: Theory and Practice,Analyzing Neural Time Series Data: Theory and Practice,ModelDB: Show Model,Case Studies in Neural Data Analysis: A Guide for the,Identification of Optimal Data Augmentation Techniques for裁断済みです。Java SE 17 Silver 参考書2点セット。\r書き込みありません。あのちゃん アナザーカット写真集 + Pegasus + ポストカード+ シール。状態良好で読む上で問題ありません。蘇るPC-9801伝説 : 永久保存版 第2弾。\r出品時点でAmazon.co.jpで新品価格11,175円です。日経NETWORK(2024年4月〜2025年3月)。\r\r\r#脳波　#EEG \r#信号処理 #神経科学 #生体信号処理　#MATLAB\r\rMike X Cohen\rAnalyzing Neural Time Series Data: Theory and Practice (Issues in Clinical and Cognitive Neuropsychology)\r\rA comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings.\rThis book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals.