Models of computation in multi-regional circuits with thalamus in the middle

丘脑位于中部的多区域电路的计算模型

• 批准号: 10294405
• 负责人: XIAO-JING WANG
• 金额: $ 4.21万
• 依托单位: ALLEN INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-15 至 2026-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10294405
• 关键词: Algorithms; Anatomy; Area; Automobile Driving; Basal Ganglia; Behavior; Behavior Control; Behavioral; Biological; Cell Nucleus; Cerebellum; Choice Behavior; Cognition; Cognition Disorders; Cognitive; Collaborations; Coma; Communication; Computer Models; Decision Making; Dimensions; Disease; Foundations; Generations; Goals; Hypersomnias; Laws; Lead; Learning; Light; Link; Maintenance; Maps; Memory; Methods; Midbrain structure; Modeling; Motor; Movement; Neocortex; Neurons; Play; Population; Prosencephalon; Recurrence; Research; Rewards; Role; Route; Sensory; Shapes; Short-Term Memory; Stimulus; Structure; Testing; Thalamic Nuclei; Thalamic structure; Theoretical model; Update; base; cell type; cognitive function; connectome data; data modeling; driving behavior; dynamic system; excitatory neuron; experimental study; frontal lobe; in vivo evaluation; motor behavior; motor control; motor disorder; network models; neural circuit; neurophysiology; predictive modeling; relating to nervous system; response; theories

Summary, Project 5 (Models of computation in multi-regional circuits with thalamus in the middle) In close interplay with experiments from Projects 1-4, this computational project aims to understand how the dynamic interplay between cortex, thalamus and other subcortical structures underlies decision-making behaviors that depend on short-term memory and reward-dependent learning. We develop a theoretical framework for the multi-regional circuit mechanism underlying the generation and control of behavior-related activity modes in frontal cortical areas. In our framework cortical activity modes, corresponding to subspaces of neural population activity, are subject to control from thalamic nuclei (non-sensory, 'higher-order'), which in turn receive driving input from subcortical inputs. Moreover, we will study how subcortical inputs to the thalamus, such as from the midbrain and basal ganglia, interact in the thalamus to generate control strategies that organize sequences of cortical activity modes driving the behaviors required to solve a task. We explore the roles of cortical cell types that are activated by thalamocortical neurons in the generation and control of activity modes that are relevant for short-term memory maintenance and motor execution. We further study value-based decision making in a dynamic foraging task that leads to Herrnstein’s matching law of choice behavior. Our circuit model will implement two candidate mechanisms for updating and maintenance of action values, decision-making based on action values, as well as its transformation to behavioral choice and action. The model implements multiple loops involving cortex, subcortex and thalamus in the middle, all based on connectomic data (from Projects 1-3) and will guide multi-regional recordings (Projects 4). To conclude, computational research will be carried out in close coordination with anatomical, behavioral and neurophysiological experiments. Model predictions will be tested, and experimental results will shape the models. This collaboration will lead to foundational advances in our understanding of computations in multi- regional neural circuits.

摘要，项目 5（多区域电路中的计算模型 丘脑在中间） 通过与项目 1-4 的实验密切相互作用，该计算项目旨在了解如何 皮质、丘脑和其他皮质下结构之间的动态相互作用是决策的基础 依赖短期记忆和奖励依赖学习的行为。我们开发了一个理论 行为相关的生成和控制的多区域电路机制的框架 额叶皮质区域的活动模式。在我们的框架皮质活动模式中，对应于子空间 神经群体活动受到丘脑核团（非感觉，“高阶”）的控制，而丘脑核团又 接收来自皮层下输入的驱动输入。此外，我们将研究皮层下如何输入丘脑， 例如中脑和基底神经节，在丘脑中相互作用，产生控制策略，组织 驱动解决任务所需行为的皮质活动模式序列。我们探索以下角色 在活动模式的生成和控制中由丘脑皮质神经元激活的皮质细胞类型 与短期记忆维持和运动执行相关。我们进一步研究基于价值的 动态觅食任务中的决策导致了赫恩斯坦的选择行为匹配法则。我们的 电路模型将实现两种候选机制来更新和维护动作值， 基于行动价值观的决策，及其向行为选择和行动的转化。这 模型实现了涉及皮层、皮层下和中间丘脑的多个循环，所有这些都基于 连接组数据（来自项目 1-3）并将指导多区域记录（项目 4）。总而言之， 计算研究将与解剖学、行为学和 神经生理学实验。模型预测将得到测试，实验结果将塑造 模型。这种合作将在我们对多领域计算的理解上带来基础性的进步。 区域神经回路。