【裁断済】Analyzing Neural Time Series Data Analyzing Neural Time Series Data: Theory and Practiceの詳細情報
Analyzing Neural Time Series Data: Theory and Practice。A versatile computational algorithm for time-series data。A Deep Convolutional Neural Network for Time Series。裁断済みです。。書き込みありません。月影城之変 Windows95。状態良好で読む上で問題ありません。細胞の分子生物学。出品時点でAmazon.co.jpで新品価格11,175円です。Adobe Illustrator9.0 forMac 日本語版。#脳波 #EEG #信号処理 #神経科学 #生体信号処理 #MATLABMike X CohenAnalyzing Neural Time Series Data: Theory and Practice (Issues in Clinical and Cognitive Neuropsychology)A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings.This 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.