Proud of this team for this multidimensional tour de force! By decoding EEG signal, we show that the brain handles competing distractors through rapid dimension-specific modulation based on a multivariate conflict signal. More in @davideghez.bsky.social's 🧵. Paper: doi.org/10.1101/2025.11.16.688701
Navigating competing attentional demands is a core cognitive function, yet how the brain tunes control in multidimensional environments remains poorly understood. Here, we used a multidimensional task-set interference paradigm in which participants attended to one of four stimulus dimensions while three others acted as distractors, combining multivariate decoding, representational similarity analysis, and encoding models applied to human EEG. Targets and distractors were initially encoded in parallel, but distractor representations were rapidly suppressed ~250 ms after stimulus onset, with suppression scaling with each distractor's own conflict history. Neither trial-to-trial adaptation nor block-level learning produced anticipatory changes in task-relevant representations. Instead, proactive control modulated the speed and efficiency of stimulus-triggered suppression. Encoding models further revealed that conflict is represented in orthogonal, dimension-specific subspaces that eventually collapse onto a shared conflict signal. These results show that multidimensional attentional control operates through selective, reactive suppression of distractor representations, guided by a structured multivariate conflict signal. ### Competing Interest Statement The authors have declared no competing interest. McDonnell Center for Systems Neuroscience Office of Naval Research / Department of Defense (ONR/DoD) grant, N00014-23-1-2792
New preprint!
Last year we showed humans adapt attention in a dimension-specific way when multiple things compete for attention. Now we read out the neural dynamics of this adaptation. doi.org/10.1101/2025.11.16.688701 w/ @mikefreund.bsky.social @theazalabak.bsky.social @wouterkool.bsky.social
