Theta frontoparietal connectivity associated with proactive and reactive cognitive control processes. - Patrick S. Cooper; Aaron S. W. Wong; W. Ross Fulham; Renate Thienel; Elise Mansfield; Patricia T. Michie; Frini Karayanidis (NeuroImage, 2015)

Contextually sensitive power changes across multiple frequency bands underpin cognitive control. - Patrick S. Cooper; Álvaro Darriba; Frini Karayanidis; Francisco Barceló 002 (NeuroImage, 2016)

The Age-ility Project (Phase 1): Structural and functional imaging and electrophysiological data repository. - Frini Karayanidis; Max C. Keuken; Aaron S. W. Wong; Jaime L. Rennie; Gilles de Hollander; Patrick S. Cooper; W. Ross Fulham; Rhoshel K. Lenroot; Mark Parsons; Natalie Phillips; Patricia T. Michie; Birte U. Forstmann (NeuroImage, 2016)

Frontal theta predicts specific cognitive control-induced behavioural changes beyond general reaction time slowing. - Patrick S. Cooper; Frini Karayanidis; Montana McKewen; Samuel McLellan-Hall; Aaron S. W. Wong; Patrick Skippen; James F. Cavanagh (NeuroImage, 2019)

Over the rainbow: Guidelines for meaningful use of colour maps in neurophysiology. - Patrick S. Cooper; Sylvain Baillet; Rana El Khoury Maroun; Trevor T.-J. Chong (NeuroImage, 2021)

Towards a criteria-based approach to selecting human-AI interaction mode. - Jessica Irons; Patrick S. Cooper; Melanie J. McGrath; Shahroz Tariq; Andreas Duenser (CoRR, 2024)

The digital divide in action: how experiences of digital technology shape future relationships with artificial intelligence. - Sarah V. Bentley; Claire K. Naughtin; Melanie J. McGrath; Jessica Irons; Patrick S. Cooper (AI Ethics, 2024)

Trust in AI is dynamically updated based on users' expectations. - Patrick S. Cooper; Alyssa Lim; Jessica Irons; Melanie J. McGrath; Huw Jarvis; Andreas Duenser (CHI Extended Abstracts, 2025)

A Novel Method for Trust-Sensitive Design: Applying Conjoint Analysis to Machine-Assisted Genome Annotation. - Melanie J. McGrath; Patrick S. Cooper; Andreas Duenser; Jessica Irons; Xiaomei Li; Rad Suchecki (CHI Extended Abstracts, 2025)

Users do not trust recommendations from a large language model more than AI-sourced snippets. - Melanie J. McGrath; Patrick S. Cooper; Andreas Duenser (Frontiers Comput. Sci., 2025)