Sample Data and Code for Speaker-Listener Neural Synchronization

Softwares: Matlab 2019b Codes: A1_Direct_trf.m direct speaker-listener neural synchronization A2_Gen_speaker_estimation.m Obtain speaker's estimation for the feature A2_Feature_trf_all6fea.m Full model of speaker-listener feature-based neural synchronization A2_Feature_trf_all5fea.m Speaker-listener feature-based neural synchronization without each feature to calculate UVE Run: for num_feature=1:6; A2_Feature_trf_all5fea(num_feature); end plot_f&&.m Draw figures Run-time: Approximately 20 min in total Reference: Crosse, M. J., Di Liberto, G. M., Bednar, A., & Lalor, E. C. (2016). The multivariate temporal response function (mTRF) toolbox: a MATLAB toolbox for relating neural signals to continuous stimuli. Frontiers in human neuroscience, 10, 604. Brainnet Viewer code for visualization was obtained from www.nitrc.org.