Mark Stokes
BA/BSc (Hons), PhD
Professor of Cognitive Neuroscience
- Tutorial Fellow, New College
Mark's research explores the role of selective attention in perception, working memory and flexible decision-making. Mark is particularly interested in how these core cognitive functions are integrated for goal-directed adaptive behaviour.
As Head of Attention Group at the Department of Experimental Psychology, Mark coordinates a programme of cognitive neuroscientific research exploring the mechanisms that underpin high-level cognition in the human brain. This research programme exploits a broad range of complementary methods for measuring and stimulating brain activity with high temporal and spatial resolution. Mark's group are also exploring new directions to translate their research in fundamental cognitive neuroscience to psychiatric models of mood disorders.
Mark maintains a neuroscience blog, The Brain Box, to disseminate his own research to a more general audience, as well as to comment on other public-interest topics in neuroscience from the latest breakthroughs to ongoing controversies. Mark also co-hosts Brain Metrics at Nature. Mark also uses Twitter to engage his science with a wider public audience: @StokesNeuro.
Recent publications
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Previously Reward-Associated Stimuli Capture Spatial Attention in the Absence of Changes in the Corresponding Sensory Representations as Measured with MEG.
Journal article
Tankelevitch L. et al, (2020), J Neurosci, 40, 5033 - 5050
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Drifting codes within a stable coding scheme for working memory
Journal article
WOLFF M. et al, (2020), PLoS Biology
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Unimodal and bimodal access to sensory working memories by auditory and visual impulses
Journal article
WOLFF M. et al, (2019), The Journal of Neuroscience
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Reward boosts neural coding of task rules to optimise cognitive flexibility
Journal article
Hall-McMaster S. et al, (2019), Journal of Neuroscience, 39, 8549 - 8561
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Premembering Experience: A Hierarchy of Time-Scales for Proactive Attention
Journal article
Nobre AC. and Stokes MG., (2019), Neuron, 104, 132 - 146