Towards a unified framework for dopamine signaling in the striatum

项目摘要 包括人类在内的动物通过自我产生的持续行为与环境互动 使他们能够探索并随后体验其行为的积极和消极后果。 由于与环境的相互作用，动物通常会改变其未来的行为 最大化积极结果并最小化消极结果。此外，动物如何与其互动 它所选择的环境和行动取决于它当前的环境、它过去的经验 环境及其内部状态。因此，动物采取的行动是动态的和不断演变的，就像 行为适应所必需的。人们认为，行动的执行，特别是以目标为导向的行动 行动，以及根据行动结果对未来行为的修改，取决于进化 大脑的旧部分称为基底神经节。在基底神经节内，产生多巴胺的细胞具有 对行为（包括人类行为）产生深远影响，他们的活动似乎编码了 环境和动物经验对于指导目标导向的行为很重要。这里我们带来 一组由实验和计算神经生物学家组成的团队一起来了解这些多巴胺是如何 产生细胞调节行为和基底神经节电路。我们将使用统一的理论和模型 整合从许多行为类别中获得的信息。完成拟议的工作，包括 技术进步和生物学发现，将为未来相关电路和技术的分析提供平台 许多物种的行为，包括人类。

Project abstract Animals, including humans, interact with their environment via self-generated and continuous actions that enable them to explore and subsequently experience the positive and negative consequences of their actions. As a result of their interactions with the environment, animals alter their future behavior, typically in a manner that maximizes positive and minimizes negative outcomes. Furthermore, how an animal interacts with its environment and the actions that it chooses depend on its current environment, its past experience in that environment, as well as its internal state. Thus, the actions taken by an animal are dynamic and evolving, as necessary for behavioral adaptation. It is thought that both the execution of actions, in particular goal-oriented actions, and the modification of future behavior in response to the outcome of actions, depend on evolutionarily old parts of the brain called the basal ganglia. Within the basal ganglia, cells that produce dopamine have a profound influence on behavior, including human behavior, and their activity appears to encode for features of the environment and animal experience that are important for directing goal-oriented behavior. Here we bring together a team of experimental and computational neurobiologists to understand how these dopamine- producing cells modulate behavior and basal ganglia circuitry. We will use unifying theories and models to integrate information acquired over many classes of behavior. Completing the proposed work, including the technical advances and biological discoveries, will provide a platform for future analyses of related circuitry and behaviors in many species, including humans.