bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Май 27, 2025

Summary Dopamine is central to reinforcement learning, classically linked reward prediction error signaling. However, recent findings suggest a more complex picture, with dopamine neurons responding aversive or non-reward-related events and displaying diverse projection patterns. To investigate how release varies across the brain, we used multi-site fiber photometry record fluorescent sensor GRAB-DA in mice performing tasks involving both rewarding outcomes. We found that while reward-related signals were broadly distributed, responses region-specific, enabling classification of targets from these dynamics. By using dimensionality reduction examine main axis covariance are encoded by parallel manifolds, whereas stimulus orthogonal manifolds. Thus, our support vector-valued model dopaminergic signaling, which anatomically functionally distinct pathways contribute encoding reinforcement-related variables brain.

Язык: Английский