Scientists have uncovered a powerful strategy that the brain uses to coordinate chemical signaling. In a new study, researchers found that in the striatum, a brain region central to learning and moving, one chemical signaling system can effectively seize control of another, promoting the coordinated release of both. Specifically, they showed that a brain chemical called “acetylcholine”, which rises and falls to signal important behavioral events, can directly trigger the release of serotonin, a neurotransmitter long linked to mood and psychiatric disorders. What’s more, the researchers showed that because of this strong link, changes in acetylcholine signaling in disease states can lead to parallel changes in serotonin levels. Given that drugs targeting the serotonin system are the first line treatment for many psychiatric conditions, such as Obsessive-Compulsive Disorder and depression, these findings offer a new perspective on the origins of chemical imbalances that underly numerous debilitating neurological and psychiatric disorders.

A new study is challenging one of neuroscience’s most enduring ideas: that the brain’s reward system exists to make us feel good. Instead, researchers argue that it is built to optimize energy. Dopamine and opioids, long cast as the chemistry of pleasure, do not function as feel-good messengers but as physiological agents that optimize the body’s metabolic budget. In this view, motivation arises from rising physiological needs and reinforcement is the gain when those needs are resolved. The theory fundamentally reframes reinforcement learning. Rather than viewing reward as the pursuit of pleasurable outcomes, it proposes that learning is driven by metabolic optimization, or, the brain’s effort to minimize energetic costs and maximize gains. Within this framework, dopamine-and opioid-related processes such as habit formation, addiction, music and even social bonding are understood as expressions of a core biological principle: behaviors are reinforced when they improve the efficiency of the body’s energy regulation. In turn, dopamine-and opioid-related psychopathologies are reframed as conditions in which the brain’s energy-management system is no longer operating optimally.

Researchers have developed a deep-learning based framework to screen over 36 million ternary hydride structures under high pressure—a task impossible by conventional methods. In this research, 129 promising candidates with superconducting transition temperatures above 200 K are identified, which nearly doubles known high-Tc hydride structures. This work demonstrates a powerful new AI-driven paradigm, merging high efficiency with ab-initio precision to accelerate the discovery of new candidate superconductors.