[{"title":"( 51 个子文件 77KB ) rsamatlab代码-EEGAndRNNAnalysis:脑电图和神经网络分析","children":[{"title":"EEGAndRNNAnalysis-master","children":[{"title":"ElecWithSigSpearmanCorrcoef.m <span style='color:#111;'> 4.56KB </span>","children":null,"spread":false},{"title":"Plot_RSA_NB_EEG_and_Net.m <span style='color:#111;'> 3.51KB </span>","children":null,"spread":false},{"title":"StimEnvelope_RandomNetOutput_xCorr.m <span style='color:#111;'> 3.91KB </span>","children":null,"spread":false},{"title":"LPFilt_ForEnv_25_FIR_LeastSqu_ord1000.m <span style='color:#111;'> 704B </span>","children":null,"spread":false},{"title":"Plot_Compare_LayerRNN_andEEG_RDMs.m <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"Lib","children":[{"title":"FrequencyDomain.m <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false},{"title":"BPF_Gaussian_fs250_order100.m <span style='color:#111;'> 795B 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style='color:#111;'> 789B </span>","children":null,"spread":false},{"title":"cnctTrials.m <span style='color:#111;'> 2.75KB </span>","children":null,"spread":false},{"title":"Sort_Trials.m <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"LPF_Gaussian_fs250_order100.m <span style='color:#111;'> 726B </span>","children":null,"spread":false},{"title":"prep_stim.m <span style='color:#111;'> 2.20KB </span>","children":null,"spread":false},{"title":"SimpleAuditoryTargets.m <span style='color:#111;'> 9.97KB </span>","children":null,"spread":false},{"title":"splitSentence.m <span style='color:#111;'> 580B </span>","children":null,"spread":false}],"spread":false},{"title":"Euclidean_RandomNet100.m <span style='color:#111;'> 3.50KB </span>","children":null,"spread":false},{"title":"FrequencyDomain_lstm_output.m <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false},{"title":"Model_RDM.m <span style='color:#111;'> 3.48KB 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