Neural population dynamics in premotor cortex during decision making
决策过程中前运动皮层的神经群体动态
基本信息
- 批准号:10412753
- 负责人:
- 金额:$ 4.22万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-08-01 至 2022-07-31
- 项目状态:已结题
- 来源:
- 关键词:AnxietyAreaAttentionAutomobile DrivingBehaviorBipolar DisorderBrainCollectionColorDataData SetDecision MakingDiagnosisDiscriminationDorsalEngineeringEnsureFunctional disorderGoalsHumanImpairmentIndividualKnowledgeLeadLearningLinkMental DepressionMental disordersModalityModelingMonkeysMotionNamesNeuronsObsessive-Compulsive DisorderParticipantPhasePopulationPopulation DynamicsProcessReportingResearchRoleSensorySensory ProcessSpeedStimulusStructureTechniquesTestingTimeTrainingVariantanalytical toolartificial neural networkbehavioral responseexperimental studyflexibilityimprovedinnovationmultiple datasetsmultitaskneural circuitneuromechanismneurophysiologynonhuman primatenovelpublic health relevancerecurrent neural networkrelating to nervous systemresponsetool
项目摘要
Project Summary / Abstract
Decision-making requires populations of neurons in the brain to collectively process sensory evidence and select
appropriate behavioral responses. Neural population dynamics (NPDs), which describe how the responses of a
population of individual neurons unfold over time, can provide an insightful view into these decision processes.
Much is known about how individual neurons respond in select decision making tasks. However, little is known
about how populations of neurons dynamically perform decision computations, and how resulting NPDs within a
brain area are structured across many decision-making tasks. Shared features in NPDs across many tasks could
indicate unifying neural mechanisms of computation that underlie the multi-functionality of a given neural circuit.
This proposal aims to uncover the details and structure of these decision-related NPDs in human and nonhuman
primate dorsal premotor cortex, an area tightly linked to both the function and dysfunction of decision making.
Particular attention will be devoted to examining how NPDs are organized across multiple decision-making tasks
and how those NPDs emerge during learning of new tasks. During the K99 phase, novel analytical tools will be
developed for extracting NPDs from simultaneously recorded neural population activity and, importantly, for
providing interpretable links between NPDs and their role in decision-related neural computation. With the goal
of identifying unifying principles of decision-related computation, large-scale analyses will then integrate existing
and newly collected neurophysiological datasets involving multiple decision-making tasks performed by humans
and nonhuman primates. During the R00 phase, the proposed research will pivot toward understanding how
NPDs emerge during learning to make new types of decisions. The proposal postulates that the ease, speed,
and efficacy of learning all hinge on the extent by which critical neural circuits can leverage pre-existing neural
mechanisms of computation. These concepts will be tested in collaborative human and nonhuman primate neu-
rophysiological experiments, with guidance provided by interrogations of artificial neural networks posed with
similar decision-related learning tasks. Upon completion, the proposed research will provide new fundamental
knowledge concerning i) the multi-functional and adaptive role of premotor cortex across many decision-making
tasks and ii) unifying principles of neural computation that support this flexibility. Better understanding decision-
related circuits and their neural mechanisms could ultimately elucidate the basis for the numerous psychiatric
disorders that impair decision making, which could eventually lead to improved diagnosis and treatment of these
debilitating conditions.
项目总结/摘要
决策需要大脑中的神经元群体共同处理感官证据并选择
适当的行为反应。神经种群动力学(NPD),描述了一个神经元的反应是如何发生的。
随着时间的推移,单个神经元的群体展开,可以提供对这些决策过程的深刻见解。
关于个体神经元如何在选择决策任务中做出反应,我们已经知道得很多。然而,
关于神经元群体如何动态地执行决策计算,以及如何在一个
大脑区域的结构涉及许多决策任务。NPD中跨多个任务的共享功能可以
指示作为给定神经电路的多功能性的基础的统一的神经计算机制。
该建议旨在揭示人类和非人类中这些决策相关NPD的细节和结构
灵长类动物的背侧前运动皮层,这一区域与决策功能和决策功能障碍密切相关。
将特别注意审查如何在多个决策任务中组织国家方案设计
以及在学习新任务时这些NPD是如何出现的。在K99阶段,将使用新的分析工具,
开发用于从同时记录的神经群体活动中提取NPD,重要的是,
在NPD和它们在决策相关的神经计算中的作用之间提供可解释的联系。目标
为了确定与决策相关的计算的统一原则,大规模分析将整合现有的
以及新收集的涉及人类执行的多个决策任务的神经生理数据集
和非人类灵长类动物。在R 00阶段,拟议的研究将侧重于了解如何
NPD是在学习做出新的决策时出现的。该提案假定,容易,速度,
学习的效率和效果都取决于关键神经回路能够在多大程度上利用预先存在的神经回路。
计算的机制。这些概念将在协作的人类和非人类灵长类动物neu中进行测试,
生理学实验,由人工神经网络的询问提供指导,
类似的决策相关的学习任务。完成后,拟议的研究将提供新的基础
关于i)运动前皮层在许多决策过程中的多功能和适应性作用的知识
任务和ii)支持这种灵活性的神经计算的统一原则。更好地理解决策-
相关回路及其神经机制可以最终阐明许多精神疾病的基础。
损害决策的疾病,这可能最终导致改善这些疾病的诊断和治疗。
使人衰弱的状况。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Universality and individuality in neural dynamics across large populations of recurrent networks.
大量循环网络中神经动力学的普遍性和个体性。
- DOI:
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Maheswaranathan,Niru;Williams,AlexH;Golub,MatthewD;Ganguli,Surya;Sussillo,David
- 通讯作者:Sussillo,David
Cortical preparatory activity indexes learned motor memories.
- DOI:10.1038/s41586-021-04329-x
- 发表时间:2022-02
- 期刊:
- 影响因子:64.8
- 作者:
- 通讯作者:
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
- DOI:
- 发表时间:2019-06
- 期刊:
- 影响因子:0
- 作者:Niru Maheswaranathan;Alex H. Williams;Matthew D. Golub;S. Ganguli;David Sussillo
- 通讯作者:Niru Maheswaranathan;Alex H. Williams;Matthew D. Golub;S. Ganguli;David Sussillo
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Matthew D. Golub其他文献
Internal Models in Closed-loop Brain-computer Interfaces: Evidence and Implications
闭环脑机接口的内部模型:证据和启示
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Matthew D. Golub;Byron M. Yu;S. Chase - 通讯作者:
S. Chase
Skill-specific changes in cortical preparatory activity during motor learning
运动学习过程中皮质准备活动的特定技能变化
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Xulu Sun;D. O’Shea;Matthew D. Golub;Eric M. Trautmann;Saurabh Vyas;S. Ryu;K. Shenoy - 通讯作者:
K. Shenoy
Interpreting Neural Population Activity During Feedback Motor Control
解释反馈运动控制期间的神经群体活动
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Matthew D. Golub - 通讯作者:
Matthew D. Golub
Matthew D. Golub的其他文献
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{{ truncateString('Matthew D. Golub', 18)}}的其他基金
Brain-wide neural population dynamics during decision making and learning
决策和学习过程中的全脑神经群体动态
- 批准号:
10732472 - 财政年份:2023
- 资助金额:
$ 4.22万 - 项目类别:
Neural population dynamics in premotor cortex during decision making
决策过程中前运动皮层的神经群体动态
- 批准号:
10018951 - 财政年份:2019
- 资助金额:
$ 4.22万 - 项目类别:
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