【50%OFF】 Analyzing Neural Time Series Data: Theory and Practice コンピュータ・IT
Analyzing Neural Time Series Data: Theory and Practice,9780262019873.jpg?auto=format&,ModelDB: Show Model,Computer aided progression detection model based on,Salesforce AI Research Proposes 'DeepTime,' A Deep Time裁断済みです。実務財務通訳の見方・2030のIoT・決算書分析セット。\r書き込みありません。コンピュータネットワーク 第6版。状態良好で読む上で問題ありません。software design2024年11冊。\r出品時点でAmazon.co.jpで新品価格11,175円です。API windows APIで学ぶWindows徹底理解。\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.