Article

Neuromodulatory systems partially account for the topography of cortical networks of learning under uncertainty

2025-08-01

Abstract excerpt

<h4>ABSTRACT</h4> Learning in dynamic and stochastic environments is notoriously difficult. Neuromodulatory systems may shape this process, thereby constraining where learning-related neural activity emerges according to the spatial distribution of receptors and transporters across the brain. However, the extent of this constraint, and which neuromodulatory systems contribute the most, remains unclear. Here, we f...

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Literature Corpus work: 1b3f707c-2a82-5529-b084-550b609fbbdb
DOI: 10.1101/2025.07.31.667879

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