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Psychophysiology|December 22, 2016
Data-driven region-of-interest selection without inflating Type I error rateJoseph L Brooks, Alexia Zoumpoulaki, Howard Bowman
Elife|April 21, 2020
Improving on legacy conferences by moving onlineTitipat Achakulvisut, Tulakan Ruangrong, Isil Bilgin, et al.
Neuropsychologia|April 27, 2021
The Sync-Fire/deSync model: Modelling the reactivation of dynamic memories from cortical alpha oscillationsGeorge Parish, Sebastian Michelmann, Simon Hanslmayr, et al.
Neural Computation|February 4, 2026
Reframing the Expected Free Energy: Four Formulations and a UnificationThéophile Champion, Howard Bowman, Dimitrije Marković, et al.
Neural Computation|August 14, 2024
Deconstructing Deep Active Inference: A Contrarian Information GathererThéophile Champion, Marek Grześ, Lisa Bonheme, et al.
Nature Human Behaviour|April 5, 2019
Speed of time-compressed forward replay flexibly changes in human episodic memorySebastian Michelmann, Bernhard P Staresina, Howard Bowman, et al.
Neural Networks : the Official Journal of the International Neural Network Society|April 25, 2022
Branching Time Active Inference: The theory and its generalityThéophile Champion, Lancelot Da Costa, Howard Bowman, et al.
Eneuro|October 7, 2020
Strategic and Non-Strategic Semantic Expectations Hierarchically Modulate Neural ProcessingConsuelo Vidal-Gran, Rodika Sokoliuk, Howard Bowman, et al.
Stroke|April 8, 2021
Inflated Estimates of Proportional Recovery From Stroke: The Dangers of Mathematical Coupling and Compression to CeilingHoward Bowman, Anna Bonkhoff, Tom Hope, et al.
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|April 30, 2021
Breakthrough percepts of famous namesAbdulmajeed Alsufyani, Kathryn Harris, Alexia Zoumpoulaki, et al.
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