Controlling the Contents of Working Memory

控制工作记忆的内容

• 批准号: 10735630
• 负责人: BRADLEY R POSTLE
• 金额: $ 64.7万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-21 至 2028-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10735630
• 关键词: Algorithms; Anterior; Attention deficit hyperactivity disorder; Basal Ganglia; Behavior; Behavior Control; Behavioral; Behavioral trial; Brain; Brain region; Characteristics; Cognition; Computer Simulation; Data; Data Set; Electroencephalography; Elements; Environment; Excision; Functional Magnetic Resonance Imaging; Future; Goals; Human; Impairment; Insula of Reil; Investigation; Laboratories; Learning; Left; Magnetic Resonance Imaging; Major Depressive Disorder; Modeling; Parameter Estimation; Pattern; Problem Solving; Process; Psychological reinforcement; Psychopathology; Research; Schizophrenia; Short-Term Memory; Signal Transduction; Site; Source; Syndrome; System; Testing; Training; Transcranial magnetic stimulation; Visual; Visual Perception; Work; base; cognitive control; cognitive system; diagnostic tool; experimental study; flexibility; functional magnetic resonance imaging/electroencephalography; indexing; mind control; neural; novel; operation; paired stimuli; recruit; recurrent neural network; sensory input; stimulus processing; trial comparing; visual stimulus

PROJECT SUMMARY The overarching goal of this proposal is to understand, at a mechanistic level, how visual working memory is controlled. It will achieve this by pursuing two Specific Aims: Specific Aim I: To elucidate the mechanisms underlying the control of priority in working memory Specific Aim II: To elucidate the mechanisms underlying the active removal of information from working memory Working memory is understood to be a necessary elemental contributor to many aspects of high-level cognition – including cognitive control, problem solving, and planning – and its impairment is characteristic of many psychopathologies and psychiatric syndromes – including attention deficit hyperactivity disorder (ADHD), major depressive disorder (MDD), and schizophrenia. The research pursuing Specific Aim I entails modeling working memory behavior with recurrent neural networks, to refine algorithm-level models of the operations that contribute to the control of priority working memory, then testing these models in human brains with functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and transcranial magnetic stimulation (TMS). The research pursuing Specific Aim II entails the study of active-removal from working memory with model-based analysis (using a reinforcement learning-based model of cognitive control) and computational simulations of fMRI data, and with repetitive (r)TMS targeting frontal circuits responsible for active-removal versus for the control of priority.

项目摘要 该提案的总体目标是在机械级别上了解视觉工作记忆的方式 受控。它将通过追求两个具体目标来实现这一目标： 特定目的I：阐明工作记忆中优先级控制的机制 特定目标II：阐明主动从工作记忆中积极删除信息的机制 工作记忆被理解为对高级认知许多方面​​的必要元素贡献者 - 包括认知控制，解决问题和计划 - 及其损害是许多人的特征 精神病理学和精神病综合症 - 包括注意力缺陷多动障碍（ADHD），主要 抑郁症（MDD）和精神分裂症。追求特定目标的研究需要建模 具有复发性神经网络的记忆行为，以完善操作的算法级别模型 有助于控制优先工作记忆，然后在人的大脑中测试这些模型 磁共振成像（fMRI），脑电图（EEG）和经颅磁刺激 （TMS）。追求特定目标II的研究需要研究从工作记忆中进行主动驱动的研究 基于模型的分析（使用基于强化学习的认知控制模型）和计算 fMRI数据的仿真，以及负责主动驱动的额叶电路的重复（R）TMS 而不是控制优先级。