Analyzing Neural Time Series Data Theory and Practice 电子书和代码

【实例简介】
脑电信号方面的书，包括相关代码
【实例截图】
【核心代码】
4744300845204031124.zip
├── Analyzing Neural Time Series Data Theory and Practice.pdf
└── code
├── accumbens_eeg.mat
├── amsterdam.bmp
├── armorf.m
├── chapter02.m
├── chapter04a.m
├── chapter04b.m
├── chapter04c.m
├── chapter04_datafile.txt
├── chapter04_excel_data.xls
├── chapter04_headache_data.txt
├── chapter05.m
├── chapter06.m
├── chapter09.m
├── chapter10.m
├── chapter11.m
├── chapter12.m
├── chapter13.m
├── chapter14.m
├── chapter15.m
├── chapter16.m
├── chapter17.m
├── chapter18.m
├── chapter19.m
├── chapter20.m
├── chapter22.m
├── chapter23.m
├── chapter25.m
├── chapter26.m
├── chapter27.m
├── chapter28.m
├── chapter29.m
├── chapter30.m
├── chapter31.m
├── chapter33.m
├── chapter34.m
├── cover_art.m
├── data2psiX.m
├── data_output_SPSS_format.txt
├── data_written_from_matlab.txt
├── emdx.m
├── entropyx.m
├── erpviewerx.fig
├── erpviewerx.m
├── fdr.m
├── figure34_3_data.mat
├── frequency_sliding_and_median_filter.m
├── interpolate_nola.m
├── interpolate_perrinX.m
├── laplacian_nola.m
├── laplacian_perrinX.m
├── mutualinformationx.m
├── my_matlab_variables.mat
├── pathlength.m
├── sampleEEGdata.mat
├── solutions2exercises.pdf
├── tfviewerx.fig
└── tfviewerx.m

1 directory, 58 files