Serotonergic activity in the dorsal raphe nucleus through the lens of unsupervised learning
Felix Hubert, Solene Sautory, Stefan Hajduk, Leopoldo Petreanu, Alexandre Pouget, Zach Mainen · COSYNE 2025
Neuromodulatory systems play a crucial role in the brain, driving rapid, global changes in neuronal computation and learning. While the dopaminergic system is thought to broadcast a scalar reward prediction error, the serotonin system’s function has been difficult to elucidate, partly due to the heterogeneity of its individual neuronal responses [1]. Although serotonergic neurons are known to respond to various salient events [2] and rewards [3], which can be accounted for by ad-hoc extensions to a reinforcement learning framework, our study presents the first comprehensive, normative framewor