Dynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process Noise

Presacco, AlessandroMiran, SinaFu, MichaelMarcus, StevenMEG data were collected from 157 sensors + 35 additional channels (158 - 192) used for reference and trigger. Each mat file contains information about the data, such as sampling frequency. A 3D matrix is used to store the 3 repetitions recorded.MEG data used for the "Switching attention" experimentenMEGDynamic switching of attentionState-Space ModelDynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process NoiseArticle