Analyzing Neural Time Series Data Theory and Practice

上传者: lanyu610 | 上传时间: 2021-02-25 08:49:53 | 文件大小: 19.96MB | 文件类型: ZIP
Mike X Cohen的参考书的习题等相关的matlab 代码,主要是对 时间序列数据的分析

文件下载

资源详情

[{"title":"( 57 个子文件 19.96MB ) Analyzing Neural Time Series Data Theory and Practice","children":[{"title":"code","children":[{"title":"interpolate_nola.m <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false},{"title":"pathlength.m <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"chapter22.m <span style='color:#111;'> 9.79KB </span>","children":null,"spread":false},{"title":"chapter10.m <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false},{"title":"figure34_3_data.mat <span style='color:#111;'> 559B </span>","children":null,"spread":false},{"title":"emdx.m <span style='color:#111;'> 5.61KB </span>","children":null,"spread":false},{"title":"data2psiX.m <span style='color:#111;'> 3.94KB </span>","children":null,"spread":false},{"title":"chapter33.m <span style='color:#111;'> 3.36KB </span>","children":null,"spread":false},{"title":"chapter18.m <span style='color:#111;'> 17.05KB </span>","children":null,"spread":false},{"title":"chapter05.m <span style='color:#111;'> 4.63KB </span>","children":null,"spread":false},{"title":"data_written_from_matlab.txt <span style='color:#111;'> 18B </span>","children":null,"spread":false},{"title":"mutualinformationx.m <span style='color:#111;'> 3.34KB </span>","children":null,"spread":false},{"title":"chapter28.m <span style='color:#111;'> 11.76KB </span>","children":null,"spread":false},{"title":"data_output_SPSS_format.txt <span style='color:#111;'> 63B </span>","children":null,"spread":false},{"title":"chapter17.m <span style='color:#111;'> 1.93KB </span>","children":null,"spread":false},{"title":"erpviewerx.fig <span style='color:#111;'> 169.57KB </span>","children":null,"spread":false},{"title":"solutions2exercises.pdf <span style='color:#111;'> 1.17MB </span>","children":null,"spread":false},{"title":"chapter25.m <span style='color:#111;'> 2.87KB </span>","children":null,"spread":false},{"title":"entropyx.m <span style='color:#111;'> 974B </span>","children":null,"spread":false},{"title":"chapter13.m <span style='color:#111;'> 15.32KB </span>","children":null,"spread":false},{"title":"chapter11.m <span style='color:#111;'> 9.75KB </span>","children":null,"spread":false},{"title":"chapter23.m <span style='color:#111;'> 12.85KB </span>","children":null,"spread":false},{"title":"chapter16.m <span style='color:#111;'> 4.25KB </span>","children":null,"spread":false},{"title":"tfviewerx.fig <span style='color:#111;'> 1.45MB </span>","children":null,"spread":false},{"title":"chapter09.m <span style='color:#111;'> 9.78KB </span>","children":null,"spread":false},{"title":"chapter27.m <span style='color:#111;'> 19.78KB </span>","children":null,"spread":false},{"title":"chapter04_headache_data.txt <span style='color:#111;'> 556B </span>","children":null,"spread":false},{"title":"accumbens_eeg.mat <span style='color:#111;'> 28.93KB </span>","children":null,"spread":false},{"title":"chapter04_excel_data.xls <span style='color:#111;'> 13.50KB </span>","children":null,"spread":false},{"title":"chapter14.m <span style='color:#111;'> 17.67KB </span>","children":null,"spread":false},{"title":"armorf.m <span style='color:#111;'> 3.06KB </span>","children":null,"spread":false},{"title":"fdr.m <span style='color:#111;'> 583B </span>","children":null,"spread":false},{"title":"tfviewerx.m <span style='color:#111;'> 36.69KB </span>","children":null,"spread":false},{"title":"chapter29.m <span style='color:#111;'> 17.78KB </span>","children":null,"spread":false},{"title":"laplacian_nola.m <span style='color:#111;'> 2.91KB </span>","children":null,"spread":false},{"title":"chapter04b.m <span style='color:#111;'> 9.12KB </span>","children":null,"spread":false},{"title":"cover_art.m <span style='color:#111;'> 2.18KB </span>","children":null,"spread":false},{"title":"chapter34.m <span style='color:#111;'> 26.96KB </span>","children":null,"spread":false},{"title":"chapter30.m <span style='color:#111;'> 21.12KB </span>","children":null,"spread":false},{"title":"chapter06.m <span style='color:#111;'> 1.20KB </span>","children":null,"spread":false},{"title":"amsterdam.bmp <span style='color:#111;'> 1.47MB </span>","children":null,"spread":false},{"title":"chapter15.m <span style='color:#111;'> 5.58KB </span>","children":null,"spread":false},{"title":"chapter04_datafile.txt <span style='color:#111;'> 18B </span>","children":null,"spread":false},{"title":"sampleEEGdata.mat <span style='color:#111;'> 14.36MB </span>","children":null,"spread":false},{"title":"frequency_sliding_and_median_filter.m <span style='color:#111;'> 4.54KB </span>","children":null,"spread":false},{"title":"chapter04c.m <span style='color:#111;'> 6.94KB </span>","children":null,"spread":false},{"title":"chapter04a.m <span style='color:#111;'> 13.30KB </span>","children":null,"spread":false},{"title":"chapter02.m <span style='color:#111;'> 4.86KB </span>","children":null,"spread":false},{"title":"interpolate_perrinX.m <span style='color:#111;'> 4.09KB </span>","children":null,"spread":false},{"title":"chapter31.m <span style='color:#111;'> 21.01KB </span>","children":null,"spread":false},{"title":"chapter19.m <span style='color:#111;'> 17.51KB </span>","children":null,"spread":false},{"title":"chapter26.m <span style='color:#111;'> 27.10KB </span>","children":null,"spread":false},{"title":"my_matlab_variables.mat <span style='color:#111;'> 1.39MB </span>","children":null,"spread":false},{"title":"laplacian_perrinX.m <span style='color:#111;'> 3.22KB </span>","children":null,"spread":false},{"title":"erpviewerx.m <span style='color:#111;'> 31.43KB </span>","children":null,"spread":false},{"title":"chapter12.m <span style='color:#111;'> 8.51KB </span>","children":null,"spread":false},{"title":"chapter20.m <span style='color:#111;'> 4.70KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明