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

摘要，项目5（多区域电路中的计算模型， 丘脑在中间） 与项目1-4的实验密切相关，这个计算项目旨在了解 大脑皮层、丘脑和其他皮层下结构之间的动态相互作用是决策的基础 行为依赖于短期记忆和奖励依赖性学习。我们开发了一个理论 框架的多区域电路机制的产生和控制相关的行为 额叶皮质区的活动模式在我们的框架中，皮层活动模式对应于 神经群体活动，受到丘脑核（非感觉，“高阶”）的控制，而丘脑核又 从皮层下输入接收驱动输入。此外，我们还将研究皮层下如何向丘脑输入信息， 例如来自中脑和基底神经节的神经元，在丘脑中相互作用，产生控制策略， 大脑皮层活动模式的序列驱动解决任务所需的行为。我们探讨了 在活动模式的产生和控制中由丘脑皮层神经元激活的皮层细胞类型 与短期记忆维持和运动执行相关的神经元。我们进一步研究基于价值的 动态觅食任务中的决策，导致Herrnstein的选择行为匹配定律。我们 电路模型将实现两个候选机制用于动作值的更新和维护， 基于行动价值的决策，以及它向行为选择和行动的转化。的 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 连接组学数据（来自项目1-3），并将指导多区域记录（项目4）。最后， 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被测试，实验结果将塑造 模型这种合作将导致我们对多媒体计算的理解的基础性进展。 区域神经回路

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.