Fusing Simultaneously Acquired EEG and fMRI to Infer Spatiotemporal Dynamics of Cognition in the Human Brain - IEEE Brain Workshop

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This video recorded at the IEEE Workshop on Advanced NeuroTechnologies featured Paul Sajda, PhD, Columbia University.

Advances in neural signal and image acquisition as well as in multivariate signal processing and machine learning are enabling a richer and more rigorous understanding of the neural basis of human decision-making. Decision-making is essentially characterized behaviorally by the variability of the decision across individual trials—e.g., error and response time distributions. To infer the neural processes that govern decision-making requires identifying neural correlates of such trial-to-trial behavioral variability. In this talk Sajda discusses how his team is using simultaneously acquired electroencephalograpy (EEG) and functional magnetic resonance imaging (fMRI) to infer the spatiotemporal dynamics that underlie the formation and execution of rapid perceptual decisions. Focus is on the different approaches developed to couple the trial-to-trial variability in the EEG and hemodynamic signals, and how to relate the resulting measures to elements of the perceptual decision-making process.

Learn more at https://brain.ieee.org/

 

This video recorded at the IEEE Workshop on Advanced NeuroTechnologies featured Paul Sajda, PhD, Columbia University.

Advances in neural signal and image acquisition as well as in multivariate signal processing and machine learning are enabling a richer and more rigorous understanding of the neural basis of human decision-making. Decision-making is essentially characterized behaviorally by the variability of the decision across individual trials—e.g., error and response time distributions. To infer the neural processes that govern decision-making requires identifying neural correlates of such trial-to-trial behavioral variability. In this talk Sajda discusses how his team is using simultaneously acquired electroencephalograpy (EEG) and functional magnetic resonance imaging (fMRI) to infer the spatiotemporal dynamics that underlie the formation and execution of rapid perceptual decisions. Focus is on the different approaches developed to couple the trial-to-trial variability in the EEG and hemodynamic signals, and how to relate the resulting measures to elements of the perceptual decision-making process.

Learn more at https://brain.ieee.org/

 

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