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Dynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process Noise
(PLOS Computational Biology, 2020-08-02)
MEG data used for the "Switching attention" experiment. This set of data refers to the part of the "forced" switching of attention
Dynamic Estimation of Auditory Temporal Response Functions via State-Space Models with Gaussian Mixture Process Noise
(PLOS Computational Biology, 2020-08-02)
MEG data used for the "Switching attention" experiment
Data for: Eelbrain: A Python toolkit for time-continuous analysis with temporal response functions
(2021)
This dataset accompanies “Eelbrain: A Python toolkit for time-continuous analysis with temporal response functions” (Brodbeck et al., 2021) and is a derivative of the Alice EEG datasets collected at the University of ...
Data-driven Metareasoning for Collaborative Autonomous Systems
(2020-01)
When coordinating their actions to accomplish a mission, the agents in a multi-agent system may use a collaboration algorithm to determine which agent performs which task. This paper describes a novel data-driven metareasoning ...