
معرفی
Becky Jackson is a Lecturer in the Department of Psychology at the University of York since 2022. She holds a BSc and PhD in Psychology from the University of Manchester (2010, 2014). Previously, she held a British Academy Postdoctoral Fellowship (2017–2021) and an EPSRC Doctoral Prize Fellowship (2014–2016). Her research focuses on neurocomputational approaches to semantic cognition, investigating semantic control, representation, and their interaction across the lifespan. She leads the NECSUS Lab, which combines computational modeling and neuroimaging techniques to understand brain architecture supporting complex cognition.
- Education: BSc Psychology (Manchester, 2010), PhD Psychology (Manchester, 2014)
Research Interests
Dr. Jackson’s work explores how the brain integrates conceptual knowledge and contextual control, using fMRI, MEG, and computational models. She investigates semantic networks, functional connectivity gradients, and the neural basis of semantic deficits in disorders. Her lab emphasizes translational research between computational theories and empirical neuroimaging findings.
Publications
Her recent work includes studies on semantic network dynamics, functional organization of temporal and frontal cortices, and the neural overlap between theory of mind and semantic cognition. Key contributions include methodological advancements in EEG/MEG functional connectivity analysis.
- Frith Prize (Experimental Psychology Society, 2014)
- British Academy Fellowship (2017–2021)
- EPSRC Doctoral Prize (2014–2016)
Advising & Grants
She supervises PhD students in semantic cognition and neuroimaging techniques. Her research is supported by interdisciplinary collaborations, including with the MRC Cognition & Brain Sciences Unit and institutions across Europe. She chairs the Board of Examiners (since 2023) and serves as an LGBTQ+ Champion at York.
Labs & Teams
NECSUS Lab (NEuroComputational Strategy to Understand Semantics) focuses on multi-disciplinary approaches to semantic control and representation, emphasizing lifespan development and computational-brain interface.





