Testing hybrid theories of action-selection

测试行动选择的混合理论

• 批准号: 10605295
• 负责人: A DAVID REDISH
• 金额: $ 57.66万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2027-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10605295
• 关键词: Algorithms; Behavior; Behavioral; Cells; Cognitive; Complex; Computer Analysis; Consensus; Corpus striatum structure; Data; Decision Making; Development; Disease; Dorsal; Drug Addiction; Eating Disorders; Evaluation; Food; Functional disorder; Future; Goals; Habits; Hippocampus; Hybrids; Intervention; Left; Medial; Mediating; Memory; Mental disorders; Outcome; Perception; Process; Psychiatry; Rattus; Rewards; Role; Running; Self-control as a personality trait; Signal Transduction; Sociology; Structure; System; Technology; Testing; Titrations; Work; design; designer receptors exclusively activated by designer drugs; discounting; driving behavior; experience; information processing; neural; neuroeconomics; neuromechanism; neurophysiology; prediction algorithm; prospective; theories

Project summary Current theories suggest that mammalian behavior arises from an interaction of different action- selection systems that process information about the past (memory), present (perception), and future (goals to achieve, outcomes to avoid) differently. Current theories dichotomize systems into planning and procedural systems, but newer theories suggest more complex, hybrid algorithms may exist within mammalian decision-systems. Current views of psychiatry are based on dysfunctions in the information processing of those decision systems, which means that treating and alleviating those disorders will be enhanced by a better understanding of the information processing that underlies decision making. A number of disorders (OCD, eating disorders, drug addiction) and a number of RDOC-related dysfunctions (compulsivity, habits, and issues of cognitive and “self-” control) have all been proposed to depend on conflicts between these decision systems. We will build on our established expertise in neural ensemble recording and computational analysis to examine the information processing of decision systems, particularly in questions of conflicts between these systems. Using DREADD manipulation and neural ensemble recording technologies, we propose to identify the mechanisms and computations that underlie action-selection processes under exogenously and internally-driven strategy changes.

项目摘要 目前的理论认为，哺乳动物的行为是由不同行为的相互作用引起的- 处理关于过去（记忆）、现在（感知）和未来的信息的选择系统 （要实现的目标，要避免的结果）不同。当前的理论将系统分为规划 和程序系统，但较新的理论表明，更复杂的，混合算法可能存在于 哺乳动物的决策系统目前的精神病学观点是基于信息功能障碍 这些决策系统的处理，这意味着治疗和减轻这些疾病将是 通过更好地理解决策背后的信息处理来增强。一 许多疾病（强迫症、进食障碍、药物成瘾）和许多RDOC相关功能障碍 （强迫性，习惯，认知和“自我”控制的问题）都被认为取决于 这些决策系统之间的冲突。我们将建立在我们在神经集成方面的专业知识基础上， 记录和计算分析，以检查决策系统的信息处理， 特别是在这些制度之间的冲突问题上。使用DREADD操作和神经 合奏记录技术，我们建议确定的机制和计算， 在外部和内部驱动的战略变化下的行动选择过程。