@article {70428, title = {Reward magnitude determines reinforcement learning efficiency.}, journal = {Science}, volume = {392}, year = {2026}, month = {2026 May 21}, pages = {eaeb0813}, abstract = {

Standard animal learning studies minimize individual reward magnitudes to maximize the repetitions of reinforced behaviors. We investigated how reward magnitude influences initial learning across five behavioral paradigms in na{\"\i}ve mice. Especially large rewards could substantially improve learning efficiency through dissociable effects on within- and across-session learning and task engagement. The duration and magnitude of ventral striatal dopamine release scaled with reward sizes, and prolonged optogenetic enhancement of dopamine reward responses also reproduced much, but not all, of the benefits to learning produced by outsized rewards. These findings indicate that the reinforcement learning efficiency of animals has traditionally been underestimated and that dopamine signaling of rewards mediates task engagement in proportion to absolute reward magnitude.

}, keywords = {Animals, Behavior, Animal, Dopamine, Learning, Male, Mice, Mice, Inbred C57BL, Optogenetics, Reinforcement, Psychology, Reward, Ventral Striatum}, issn = {1095-9203}, doi = {10.1126/science.aeb0813}, url = {https://doi.org/10.1126/science.aeb0813}, author = {Gong, Sheng and Martell, Alyssa and Dudman, Joshua T and Coddington, Luke T} } @article {70118, title = {Composing trajectories for rapid inference of navigational goals}, journal = {bioRxiv}, year = {2025}, month = {2025 Sep 24}, abstract = {

Animals efficiently learn to navigate their environment. In the laboratory, naive mice explore their environment via highly structured trajectories and can learn to localize new spatial targets in as few as a handful of trials. It is unclear how such efficient learning is possible, since existing computational models of spatial navigation require far more experience to achieve comparable performance and do not attempt to explain the evolving structure of animal behavior during learning. To inform a new algorithm for rapid learning of navigational goals, we took inspiration from the reliable structure of behavior as mice learned to intercept hidden spatial targets. We designed agents that generate behavioral trajectories by controlling the speed and angular velocity of smooth path segments between anchor points. To rapidly learn good anchors, we use Bayesian inference on the history of rewarded and unrewarded trajectories to infer the probability that an anchor will be successful, and active sampling to trim hypothesized anchors. Agents learn within tens of trials to generate compact trajectories that intercept a target, capturing the evolution of behavioral structure and matching the upper limits of learning efficiency observed in mice. We further show that this algorithm can explain how mice avoid obstacles and rapidly adapt to target switches. Finally, we show that this framework naturally encompasses both egocentric and allocentric strategies for navigation.

}, doi = {10.1101/2025.09.24.678123}, url = {https://www.biorxiv.org/content/early/2025/09/24/2025.09.24.678123}, author = {AbdelRahman, Nada Y and Jiang, Wanchen and Coddington, Luke T and Gong, Sheng and Dudman, Joshua T and Hermundstad, Ann M} } @article {69657, title = {Anti-seizure effects of norepinephrine-induced free fatty acid release.}, journal = {Cell Metab}, year = {2024}, month = {2024 Oct 29}, abstract = {

The brain{\textquoteright}s ability to rapidly transition between sleep, quiet wakefulness, and states of high vigilance is remarkable. Cerebral norepinephrine (NE) plays a key role in promoting wakefulness, but how does the brain avoid neuronal hyperexcitability upon arousal? Here, we show that NE exposure results in the generation of free fatty acids (FFAs) within the plasma membrane from both astrocytes and neurons. In turn, FFAs dampen excitability by differentially modulating the activity of astrocytic and neuronal Na, K, ATPase. Direct application of FFA to the occipital cortex in awake, behaving mice dampened visual-evoked potential (VEP). Conversely, blocking FFA production via local application of a lipase inhibitor heightened VEP and triggered seizure-like activity. These results suggest that FFA release is a crucial step in NE signaling that safeguards against hyperexcitability. Targeting lipid-signaling pathways may offer a novel therapeutic approach for seizure prevention.

}, issn = {1932-7420}, doi = {10.1016/j.cmet.2024.10.011}, url = {https://doi.org/10.1016/j.cmet.2024.10.011}, author = {Li, Baoman and Sun, Qian and Ding, Fengfei and Xu, Qiwu and Kang, Ning and Xue, Yang and Ladron-de-Guevara, Antonio and Hirase, Hajime and Weikop, Pia and Gong, Sheng and Nathan, Smith and Nedergaard, Maiken} }