Dynamic population codes for perception

感知的动态群体代码

• 批准号: 10652434
• 负责人: MATTHEW A SMITH
• 金额: $ 33.9万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10652434
• 关键词: Afferent Neurons; Agnosia; Area; Attention; Behavior; Behavioral; Brain; Brain Diseases; Brain region; Code; Communication; Detection; Diagnosis; Disease; Event; Individual; Link; Location; Measures; Methods; Motor; Neurons; Outcomes Research; Patients; Pattern; Perception; Performance; Photic Stimulation; Play; Population; Population Dynamics; Population Heterogeneity; Prefrontal Cortex; Preparation; Process; Prosthesis; Reaction Time; Rehabilitation therapy; Research; Role; Sampling; Sensory; Shapes; Signal Transduction; Stimulus; Structure; System; Testing; Time; Traumatic Brain Injury; V4 neuron; Vision Disorders; Visual; Visual Cortex; Visual Perception; Work; active vision; area V4; behavior influence; behavior prediction; brain repair; experimental study; extrastriate visual cortex; flexibility; improved; neglect; nervous system disorder; receptive field; response; sensory system; visual stimulus

Dynamic population codes for perception PROJECT SUMMARY One of the most critical functions of sensory and motor systems is preparation for upcoming events. In sensory systems, this preparation confers a perceptual and behavioral advantage. When the location of an upcoming event is known, subjects respond with shorter reaction times and greater accuracy – an internal state that is often referred to as spatial attention. Numerous regions throughout the cortex have been implicated as playing important roles in establishing and maintaining attention, making it clear that attention operates through the coordinated activity of neuronal populations throughout the brain. Typical studies of attention, however, have focused largely on averaged neuronal responses in a time window well after the time of stimulus onset, and nearly all have involved recordings from a single brain region at a time. We will investigate the population-level mechanisms by which neurons prepare for an anticipated stimulus and maintain an attentional state, focusing on the activity of neurons within visual and prefrontal cortex as well as the interactions between these regions. Our strategy is to employ population-level measures to reveal signals hidden from single-neuron and averaged approaches, and then link these measures to behavior. In the first specific aim, we measure how neurons in visual cortex prepare for an upcoming stimulus. We hypothesize that a diverse population code underlies attentional preparation in visual cortex and is reflected in the earliest responses. In the second specific aim, we determine how prefrontal cortex and visual cortex work in concert to prepare attention. We hypothesize that prefrontal cortex serves to maintain a stable attentional state in the absence of visual stimulation, and coordinated activity between these regions influences behavior. In the third specific aim, we seek to understand how preparation in visual cortex is adaptable based on context. We hypothesize that dynamic task demands influence the patterns by which visual cortex prepares, enabling attention to flexibly influence behavior in numerous situations. The overall result of this study will be to establish the role of population activity in dynamic visual perception, and to construct a framework by which to relate population recordings in multiple brain regions to visual perception and behavior. This will aid in developing treatments for neurological disorders of vision and rehabilitation after traumatic brain injury or disease.

感知的动态群体代码 项目概要 感觉和运动系统最关键的功能之一是为即将发生的事件做好准备。在感官上 系统，这种准备赋予了感知和行为优势。当即将到达的位置 事件已知后，受试者会以更短的反应时间和更高的准确度做出反应——这是一种内部状态 通常称为空间注意力。整个大脑皮层的许多区域都与玩耍有关 在建立和维持注意力方面发挥着重要作用，清楚地表明注意力是通过 整个大脑神经元群的协调活动。然而，典型的注意力研究 主要关注刺激开始后一个时间窗口内的平均神经元反应，以及 几乎所有的记录都涉及一次来自单个大脑区域的记录。我们将调查人口水平 神经元为预期刺激做好准备并保持注意力状态的机制 关于视觉和前额皮质内神经元的活动以及这些区域之间的相互作用。 我们的策略是采用群体水平的测量来揭示单个神经元隐藏的信号和平均信号 方法，然后将这些措施与行为联系起来。在第一个具体目标中，我们测量神经元如何 视觉皮层为即将到来的刺激做好准备。我们假设多样化的人口代码是其基础 视觉皮层的注意力准备并反映在最早的反应中。在第二个具体目标中，我们 确定前额皮层和视觉皮层如何协同工作以准备注意力。我们假设 前额皮质在没有视觉刺激的情况下维持稳定的注意力状态， 这些区域之间的协调活动会影响行为。在第三个具体目标中，我们寻求 了解视觉皮层的准备工作如何根据上下文进行调整。我们假设动态任务 需求影响视觉皮层准备的模式，使注意力能够灵活地影响 在许多情况下的行为。这项研究的总体结果将是确定人口的作用 动态视觉感知活动，并构建一个框架，通过该框架将人口记录联系起来 视觉感知和行为的多个大脑区域。这将有助于开发神经系统疾病的治疗方法 脑外伤或疾病后的视力障碍和康复。

项目成果

Automated customization of large-scale spiking network models to neuronal population activity.

根据神经元群体活动自动定制大规模尖峰网络模型。

• DOI: 10.1101/2023.09.21.558920
• 发表时间: 2023
• 期刊: bioRxiv : the preprint server for biology
• 作者: Wu,Shenghao;Huang,Chengcheng;Snyder,Adam;Smith,Matthew;Doiron,Brent;Yu,Byron
• 通讯作者: Yu,Byron