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Peter Zeidman
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2020 – today
- 2024
- [j17]Thomas Parr
, Karl J. Friston
Active Data Selection and Information Seeking. Algorithms 17(3): 118 (2024) - 2023
- [j16]Peter Zeidman
A primer on Variational Laplace (VL). NeuroImage 279: 120310 (2023) - 2022
- [j15]Edda Bilek
Directed coupling in multi-brain networks underlies generalized synchrony during social exchange. NeuroImage 252: 119038 (2022) - [j14]Sung-Mu Lee
Effects of face repetition on ventral visual stream connectivity using dynamic causal modelling of fMRI data. NeuroImage 264: 119708 (2022) - 2021
- [j13]Zuo Zhang
Neural Correlates of Hand-Object Congruency Effects during Action Planning. J. Cogn. Neurosci. 33(8): 1487-1503 (2021) - [j12]Amirhossein Jafarian, Peter Zeidman
Adiabatic dynamic causal modelling. NeuroImage 238: 118243 (2021) - 2020
- [j11]Huilin Wei
Bayesian fusion and multimodal DCM for EEG and fMRI. NeuroImage 211: 116595 (2020) - [j10]Amirhossein Jafarian, Vladimir Litvak, Hayriye Cagnan
Comparing dynamic causal models of neurovascular coupling with fMRI and EEG/MEG. NeuroImage 216: 116734 (2020)
2010 – 2019
- 2019
- [j9]Carolina Reis, Andrew Sharott, Peter J. Magill
Thalamocortical dynamics underlying spontaneous transitions in beta power in Parkinsonism. NeuroImage 193: 103-114 (2019) - [j8]Karl J. Friston
Dynamic causal modelling revisited. NeuroImage 199: 730-744 (2019) - [j7]Peter Zeidman
A guide to group effective connectivity analysis, part 2: Second level analysis with PEB. NeuroImage 200: 12-25 (2019) - [j6]Peter Zeidman
A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI. NeuroImage 200: 174-190 (2019) - [j5]Karl J. Friston
Variational representational similarity analysis. NeuroImage 201 (2019) - [c1]Vladimir Litvak, Amirhossein Jafarian, Peter Zeidman
There's no such thing as a 'true' model: the challenge of assessing face validity. SMC 2019: 4403-4408 - 2018
- [j4]Peter Zeidman
Bayesian population receptive field modelling. NeuroImage 180(Part): 173-187 (2018) - 2017
- [j3]Yury Koush
OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis. NeuroImage 156: 489-503 (2017) - 2016
- [j2]Karl J. Friston
Bayesian model reduction and empirical Bayes for group (DCM) studies. NeuroImage 128: 413-431 (2016) - 2013
- [j1]Will D. Penny
Forward and Backward Inference in Spatial Cognition. PLoS Comput. Biol. 9(12) (2013)
Coauthor Index
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last updated on 2024-05-08 20:52 CEST by the dblp team
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