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Generative Models of M/EEG: Group inversion and MEG+EEG+fMRI multimodal integration Rik Henson

Generative Models of M/EEG: Group inversion and MEG+EEG+fMRI multimodal integration Rik Henson (with much input from Karl Friston). A Generative Model of M/EEG Group inversion (optimising priors across subjects) Multimodal integration: 3.1 Symmetric integration (fusion) of MEG + EEG

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683 views • 48 slides

Efficient Algorithms for Distributed Snapshots and Global Virtual Time Approximation

Efficient Algorithms for Distributed Snapshots and Global Virtual Time Approximation. Author: Friedermann Mattern Presented By: Shruthi Koundinya. Overview. Introduction Models and Definitions Consistent Cut Algorithm Distributed Monotonic Computation Scheme Distributed Simulation

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311 views • 19 slides

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Jth component - PowerPoint PPT Presentation

Generative Models of M/EEG: Group inversion and MEG+EEG+fMRI multimodal integration Rik Henson

Efficient Algorithms for Distributed Snapshots and Global Virtual Time Approximation