Representation and utilization of sensory uncertainty in the primate visual system

灵长类动物视觉系统中感觉不确定性的表示和利用

基本信息

批准号：
10337217
负责人：
Corey M Ziemba
金额：
$ 11.85万
依托单位：
UNIVERSITY OF TEXAS AT AUSTIN
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：
2021-03-01 至 2024-02-29
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10337217
关键词：
Address Afferent Neurons Animal Behavior Animals Area Attitude Beds Behavior Behavioral Behavioral Paradigm Brain Code Complex Data Decision Making Electrophysiology (science)Environment Foundations Glean Goals Human Incentives Judgment Knowledge Link Macaca Measurement Measures Modeling Monkeys Neurons Neurosciences Noise Perception Performance Phase Physiology Population Poverty Primates Procedures Psychophysics Reporting Research Research Training Rewards Risk Role Scheme Sensory Sensory Process Source Stimulus System Task Performances Techniques Testing Training Uncertainty Vision Visual Visual Cortex Visual Perception Visual system structure Wages Work area V2 awake base career computational neuroscience design experimental study extracellular high reward high risk insight metacognition neural circuit neurophysiology neuropsychiatric disorder nonhuman primate novel novel strategies preference programs relating to nervous system response sensory stimulus theories visual stimulus willingness

项目摘要

Project Summary Representation and utilization of sensory uncertainty in the primate visual system Accurate perception is vital for survival, but available sensory information can often be impoverished. Observers act with seeming knowledge of their own uncertainty when making perceptual decisions as well as reflecting on the accuracy of those decisions. This implies that neural circuits which process sensory information also represent the uncertainty of this information. How does this work? This proposal seeks to answer this question and investigate its implications for perception and behavior. By combining theoretical neuroscience, electrophysiological recordings, and perceptual experiments, this proposal will integrate results from human and nonhuman primates to combine the characterization of sensory uncertainty and its neuronal basis. This proposal comprises three specific research and training aims. First, we will leverage theory and physiology to develop and test a novel computational theory of how sensory neurons encode stimulus uncertainty (Aim 1). We propose a view that stimulus features are encoded by the response mean of visual neurons, but stimulus uncertainty is encoded by variance in the response gain. We will conduct electrophysiological recordings in the early visual cortex while presenting stimuli with varying levels of uncertainty to further develop and test this theory. This aim will provide strong training in computational neuroscience and the design of experiments with a theory-driven approach. Second, we will identify how downstream circuits decode stimulus uncertainty for perception (Aim 2), by recording neurons from animals trained to judge the perceptual reliability of noisy sensory stimuli. Achieving this aim will require recording from large neuronal populations across multiple areas simultaneously, so will provide training in cutting-edge, large-scale electrophysiological techniques. Finally, we will connect the insights gleaned from neurophysiological experiments in nonhuman primates to human behavior through a novel approach to eliciting perceptual confidence (Aim 3). This approach will involve training in and application of concepts from value-based decision-making to rigorously isolate confidence behavior from the potential influence of reward preferences, such as risk attitude. These experiments will be vital as a potential foundation for exploring the possible disruption of uncertainty encoding in neuropsychiatric disorders. Overall, results from this proposal will help to reveal the role of sensory circuits in representing and utilizing uncertainty to guide visual perception.

项目概要灵长类动物视觉系统中感觉不确定性的表示和利用准确的感知对于生存至关重要，但可用的感官信息往往可以贫困。观察者在做出决定时，似乎知道自己的不确定性感知决策以及反思这些决策的准确性。这意味着处理感觉信息的神经回路也代表了这种不确定性信息。这是如何运作的？本提案旨在回答这个问题并调查其对感知和行为的影响。通过结合理论神经科学，电生理记录和感知实验，该提案将整合结果来自人类和非人类灵长类动物，结合感觉不确定性的表征和它的神经元基础。该提案包括三个具体的研究和培训目标。首先，我们将利用理论和生理学来开发和测试一种新的计算理论感觉神经元编码刺激不确定性（目标 1）。我们提出的观点是，刺激措施具有以下特点：由视觉神经元的响应平均值编码，但刺激不确定性由响应增益的方差。我们将在早期视觉中进行电生理记录皮层，同时呈现具有不同程度的不确定性的刺激，以进一步开发和测试这一点理论。这一目标将为计算神经科学和设计提供强有力的培训。采用理论驱动的方法进行实验。其次，我们将确定下游电路如何通过记录经过训练的动物的神经元，解码感知的刺激不确定性（目标 2）判断噪声感官刺激的感知可靠性。实现这一目标需要记录同时来自多个区域的大量神经元群体，因此将提供以下方面的培训：尖端、大规模的电生理技术。最后，我们将连接见解从非人类灵长类动物的神经生理学实验中收集到人类行为一种激发感知信心的新颖方法（目标 3）。该方法将涉及以下方面的培训：以及应用基于价值的决策中的概念来严格隔离信心行为受到奖励偏好的潜在影响，例如风险态度。这些实验作为探索可能的破坏的潜在基础至关重要神经精神疾病的不确定性编码。总体而言，该提案的结果将有助于揭示感觉回路在表示和利用不确定性来引导视觉方面的作用洞察力。