Visual Statistical Learning Alters Low-Dimensional Cortical Architecture
The Journal Club28 Apr 2025

Visual Statistical Learning Alters Low-Dimensional Cortical Architecture

The current work is the first to investigate changes in whole-brain manifold architecture that underlie visual statistical learning (SL). We found that areas of the visual cortex and dorsal attention network showed significant connectivity changes during learning, reflecting their decreased, and increased covariance with other networks, respectively. Notably, when SL was later disrupted, regions within the medial temporal lobe, which had shown no evidence of initial learning, now began to increase connectivity with higher-order cortex. Together, these findings not only reveal the widespread neural interactions that underlie visual SL but also extend prior work, suggesting separable cortical and medial temporal lobe contributions for the encoding versus violation of learned associations.


Rowchan K, Gale DJ, Nick Q, Gallivan JP, Wammes JD. Visual Statistical Learning Alters Low-Dimensional Cortical Architecture. J Neurosci. 2025 Apr 23

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