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.