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Analyzing Neural Time Series Data: Theory and Practice,ModelDB: Show Model,Analyzing Neural Time Series Data: Theory and Practice,Time Series Data Generation Method with High Reliability,Frontiers | Time-series representation learning via Time裁断済みです。クヌース　文芸的プログラミング。\r書き込みありません。コンピュータ・IT Modeling and Simulation in Scilab/Scicos。状態良好で読む上で問題ありません。C++によるプログラミングの原則と実践。\r出品時点でAmazon.co.jpで新品価格11,175円です。オブジェクト指向プログラミング UMLとデザインパターン関連書籍10+1冊セット。\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.