Michał J. Wójcik

Granule cells reorient cortical trajectories to separate contexts

In mice learning two tasks, cerebellar granule cells kept the low-rank geometry of premotor cortical output within each task but rotated their population trajectories apart between tasks, while cortex generalized.

Working memory shapes neural geometry in human EEG over learning

The paper shows that working memory shapes neural geometry in human EEG during learning by transforming task features into low-dimensional representations.

Effects of noise and metaboliccost on cortical task representations

This study shows how neural circuits adjust their representation of task-relevant and irrelevant stimuli based on noise and metabolic cost, aligning with minimal representational strategies observed in primate prefrontal cortex.

Learning shapes neural geometry in the prefrontal cortex

This study shows that prefrontal cortex representations change from high-dimensional and nonlinear to low-dimensional and rule-selective as animals learn a new task rule.