CRCNS: Decision dynamics in cortico-basal ganglia-thalamic networks
CRCNS:皮质-基底节-丘脑网络的决策动态
基本信息
- 批准号:10830650
- 负责人:
- 金额:$ 34.21万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-07-15 至 2028-05-31
- 项目状态:未结题
- 来源:
- 关键词:Addictive BehaviorBehaviorBehavioralBrainCellsComputer ModelsCoupledDataDecision MakingDevelopmentDiffusionDimensionsElectrophysiology (science)EncapsulatedEntropyEnvironmentEnvironmental Risk FactorFeedbackFunctional disorderFutureGangliaIndividualInvestigationLearningLinkMapsMeasuresMediatingModelingMusObesityOpiate AddictionPathway interactionsPatternPoliciesPopulationProcessPropertyPublic HealthResearchRewardsRodentSeriesSideSignal TransductionStreamStructureSystemTestingThalamic structureUpdateWorkaddictionanalytical methodarmcognitive processexperimental studyflexibilityin silicoin vivoinsightmotor controlnetwork modelsneuralneural circuitnoveloptogeneticsprogramsreward processingspatiotemporaltheoriestwo-dimensional
项目摘要
The mammalian brain is particularly well suited for managing streams of (often noisy) evidence, both
internally and externally generated, to converge to a decision. This evidence accumulation process can
adapt to changing environments and reward opportunities, mediated by cortico-basal-ganglia-thalamic
(CBGT) circuits that both contribute to action selection and use feedback signals to modify future
decisions. Dysfunction in how these pathways use feedback to guide future decisions is a primary
mechanism for many addictive behaviors (e.g., opioid addiction, obesity). Our prior work has identified
subsystems, which we call control ensembles, within the CBGT pathways that regulate dimensions of the
evidence accumulation process, leading to various neural states with differing receptivity to the evidence
streams that drive decisions, encapsulated in a particular decision policy.
We propose a series of empirical and theoretical investigations that bridge across levels of analysis to
understand the flow of information through CBGT circuits during the decision-making process. On the
theory side we will use our models to understand the low-dimensional representational space of CBGT
circuits throughout the decision-making process, using energy landscape models coupled with
dimensionality reduction. Using computational models we will model decision trajectories through CBGT
networks by applying entropy based analyses to the network behavior and building predictions of observed
dynamics in both discrete and continuous actions (Specific Aim 1). Empirically, we will test predictions
emerging from our network model and provide new observations to support model refinement using
experiments in rodents (optogenetics, electrophysiology) as they perform both tasks with dynamic reward
contingencies featuring either discrete choices or continuous motor control (Specific Aim 2). Our theoretical
and empirical work will evolve in a mutual-development cycle, with theoretical experiments being used to
derive novel behavioral and neural predictions and empirical experimental results being used to revise and
update the generative model properties that lead to subsequent predictions.
哺乳动物的大脑特别适合管理(通常是嘈杂的)证据流,无论是
内部和外部产生,汇聚成一个决定。这个证据积累过程可以
适应不断变化的环境和奖励机会,由皮质-基底节-丘脑介导
(CBGT)电路既有助于动作选择,又使用反馈信号来修改未来
决定。这些途径如何使用反馈来指导未来决策的功能障碍是主要的
许多成瘾行为(例如阿片类药物成瘾、肥胖)的机制。我们之前的工作已经确定
CBGT 通路内的子系统,我们称之为控制系综,调节系统的维度
证据积累过程,导致对证据具有不同接受度的各种神经状态
驱动决策的流封装在特定的决策策略中。
我们提出了一系列跨层次分析的实证和理论研究
了解决策过程中通过 CBGT 电路的信息流。上
理论方面,我们将使用我们的模型来理解 CBGT 的低维表示空间
整个决策过程中的电路,使用能源景观模型加上
降维。使用计算模型,我们将通过 CBGT 对决策轨迹进行建模
通过对网络行为应用基于熵的分析并构建观察到的预测来构建网络
离散和连续动作的动力学(具体目标 1)。根据经验,我们将测试预测
从我们的网络模型中浮现出来并提供新的观察结果以支持模型细化
啮齿动物实验(光遗传学、电生理学),因为它们以动态奖励执行这两项任务
以离散选择或连续运动控制为特征的突发事件(具体目标 2)。我们的理论
实证工作将在相互发展的循环中发展,理论实验被用来
得出新颖的行为和神经预测以及经验实验结果,用于修正和
更新导致后续预测的生成模型属性。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jonathan E. Rubin其他文献
Irregular activity arises as a natural consequence of synaptic inhibition.
不规则活动是突触抑制的自然结果。
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:2.9
- 作者:
David H. Terman;Jonathan E. Rubin;C. Diekman - 通讯作者:
C. Diekman
Identification of affine dynamical systems from a single trajectory
从单一轨迹识别仿射动力系统
- DOI:
10.1088/1361-6420/ab958e - 发表时间:
2020 - 期刊:
- 影响因子:2.1
- 作者:
Xiaoyu Duan;Jonathan E. Rubin;D. Swigon - 通讯作者:
D. Swigon
Arkypallidal neurons in the external globus pallidus can mediate inhibitory control by altering competition in the striatum
外部苍白球中的苍白球神经元可以通过改变纹状体的竞争来介导抑制控制
- DOI:
10.1101/2024.05.03.592321 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Cristina Giossi;Jyotika Bahuguna;Jonathan E. Rubin;Timothy D. Verstynen;C. Vich - 通讯作者:
C. Vich
Steady states in an iterative model for multiplicative spike-timing-dependent plasticity
乘法尖峰时间依赖性可塑性迭代模型中的稳态
- DOI:
10.1080/net.12.2.131.140 - 发表时间:
2001 - 期刊:
- 影响因子:0
- 作者:
Jonathan E. Rubin - 通讯作者:
Jonathan E. Rubin
Jonathan E. Rubin的其他文献
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