Searching tACS Parameter Spaces

Link – Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization. Abstract BACKGROUND: Selecting optimal stimulation parameters from numerous possibilities is a major obstacle for assessing the efficacy of non-invasive brain stimulation. OBJECTIVE: We demonstrate that Bayesian optimization can rapidly search through large parameter spaces and identify subject-level stimulation parameters in real-time. METHODS: […]

Bayesian fusion and multimodal DCM for EEG and fMRI.

Link – Bayesian fusion and multimodal DCM for EEG and fMRI. Neuroimage. 2020 Feb 03;:116595 Authors: Wei H, Jafarian A, Zeidman P, Litvak V, Razi A, Hu D, Friston KJ Abstract This paper asks whether integrating multimodal EEG and fMRI data offers a better characterisation of functional brain architectures than either modality alone. This evaluation […]