Neurophysiology underlying neural representations of value
Neurophysiology underlying neural representations of value
批准号:
10294241
负责人:
C. DANIEL SALZMAN
金额:
$68.29万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-04-10 至 2023-04-14
关键词:
Amygdaloid structureAnteriorAnxiety DisordersAreaBehavioralBrainCognitiveCuesDevelopmentElectrophysiology (science)EmotionalEmotionsEventFeelingGrantHealthHippocampus (Brain)Impaired cognitionKnowledgeLeadLearningLifeMaintenanceMediatingMemoryMental disordersMethodsMonkeysMood DisordersOutcomePerceptionPerformancePhysiologicalPlayPrefrontal CortexPrimatesProcessPsychological reinforcementResearchResponse to stimulus physiologyReversal LearningRewardsRoleSchizophreniaShort-Term MemorySignal TransductionStimulusStructureTask PerformancesTestingTimeUpdateWorkaddictionautism spectrum disordercognitive controlcognitive processcognitive reappraisalemotion regulationemotional experienceexecutive functionexpectationexperimental studyflexibilityinsightmemory processneural circuitneural networkneurophysiologyoperationoptogeneticspreventrelating to nervous systemresponsesensory stimulusstatisticssupervised learningunsupervised learning
中文摘要
一系列行为、生理和认知反应(例如接近和回避,
自主反应和主观感觉)反映了受试者的情绪状态。认知
情绪调节是指以灵活的方式调节这些情绪反应的能力
根据认知操作。情绪过程的认知调节缺陷
许多精神疾病的特征。然而,在日常生活中,特定的感官刺激和/或
行为可以根据情况或上下文引起不同的情绪反应。上下文
通常依赖于在没有明确线索的情况下对当前情况的认知理解。
这些类型的上下文可以被称为“抽象”上下文。这项研究是一种
抽象上下文,其中上下文由任务集确定。一个任务集是一组刺激-
反应-结果映射(或规则),指示特定试验中的正确性能
块先前的研究表明,灵长类动物有能力学习这些抽象的背景,
抽象语境的神经表征存在于杏仁核和前额叶的两个区域
皮质(PFC),前扣带和眶额皮质(ACC和OFC)。该补助金旨在
理解这些表征形成和维持的机制,
contexts.与由错误信号驱动的监督学习相反,我们假设
时间相关的试验类型的发生触发无监督学习,大概是通过一个
涉及活动依赖可塑性的赫布机制。这种学习可能是形成
任务集定义的抽象上下文的表示,这将与
Aim 1中的电生理记录。创建任务集的表示需要
将关于当前试验的信息与关于已经发生的试验的信息相结合
最近大脑结构提供最近事件的记忆痕迹和/或联合收割机
随着时间的推移,信息可以在任务集出现之前创建任务集的表示。
在杏仁核,OFC和ACC中观察到的代表。因此,我们接下来的实验针对
海马体和背外侧PFC(DLPFC),这是涉及记忆过程,工作
记忆和执行功能。我们将比较和对比
海马,DLPFC,OFC和ACC在学习任务集(目标2)。最后我们
将使用因果关系的方法,以确定是否PFC输入杏仁核和海马体的行为,
保持这些语境表征,这可能是认知调节的重要机制
情感(目标3)总的来说,这些实验有望阐明神经生理学机制
对正常的适应性情绪健康至关重要。
!
英文摘要
A range of behavioral, physiological, and cognitive responses (e.g. approach and avoidance,
autonomic reactivity, and subjective feelings) reflects a subject's emotional state. The cognitive
regulation of emotion refers to the capacity to regulate these emotional responses in a flexible manner
according to a cognitive operation. Deficits in the cognitive regulation of emotional processes
characterize many psychiatric disorders. In everyday life, however, particular sensory stimuli and/or
actions can elicit different emotional responses depending upon the situation or context. Contexts
often rely on a cognitive understanding of one's current situation in the absence of explicit cues.
These types of contexts may be referred to as “abstract” contexts. This grant studies a type of
abstract context where the context is determined by a task set. A task set is the set of stimulus-
response-outcome mappings (or rules) that dictate correct performance for trials within a particular
block. Previous research demonstrates the capacity of primates to learn these abstract contexts, and
neural representations of abstract contexts exist in the amygdala and two areas in the prefrontal
cortex (PFC), the anterior cingulate and orbitofrontal cortices (ACC and OFC). This grant seeks to
understand the mechanisms that underlie the formation and maintenance of these representations of
contexts. In contrast to supervised learning driven by error signals, we hypothesize that the
occurrence of temporally associated trial types triggers unsupervised learning, presumably through a
Hebbian mechanism involving activity-dependent plasticity. This learning could underlie formation of
representations of abstract contexts defined by task sets, which will be explored with
electrophysiological recordings in Aim 1. The creation of a representation of a task set requires
combining information about the current trial with information about the trials that have occurred
recently. Brain structures that provide memory traces of recent events and/or that combine
information over time could create representations of a task set prior to the emergence of the
representations observed in amygdala, OFC, and ACC. Our next experiments therefore target the
hippocampus and dorsolateral PFC (DLPFC), which are implicated in memory processes, working
memory, and executive functions. We will compare and contrast the encoding of task sets in
hippocampus, DLPFC, OFC, and ACC during and after learning about task sets (Aim 2). Finally, we
will use causal methods to determine if PFC input to the amygdala and the hippocampus acts to
maintain these context representations, which could be a vital mechanism for the cognitive regulation
of emotion (Aim 3). Overall, these experiments promise to illuminate neurophysiological mechanisms
critical for normal adaptive emotional health.
!
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
The geometry of neural representations reflecting abstraction in humans
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Neurophysiology underlying neural representations of value
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批准号:10053729
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资助金额:$68.29万
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Neurophysiology underlying neural representations of value
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Neural Mechanisms Underlying Reinforcement Learning
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Neural Mechanisms Underlying Reinforcement Learning
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依托单位:
海外基金