Decoding Population Activity During Sensory Adaptation

解码感官适应期间的群体活动

• 批准号: 8787001
• 负责人: Christopher A. Henry
• 金额: $ 5.51万
• 依托单位: ALBERT EINSTEIN COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8787001
• 关键词: Accounting; Address; Affect; Algorithms; Animals; Area; Basic Science; Behavior; Behavioral; Biological; Brain; Cells; Chronic; Code; Complex; Decision Making; Dependency; Detection; Discrimination; Electrodes; Environment; Goals; Individual; Judgment; Knowledge; Macaca; Measures; Mental disorders; Monkeys; Nature; Neurons; Neurosciences; Ocular Fixation; Perception; Performance; Physiological; Population; Population Study; Primates; Process; Property; Reading; Recording of previous events; Relative (related person); Research Project Grants; Sensory; Sensory Process; Signal Transduction; Structure; Techniques; Testing; Training; Translational Research; Vision Disorders; Visual; Visual Cortex; Visual system structure; Weight; Work; area V1; area striata; awake; base; experience; improved; insight; neural circuit; public health relevance; receptive field; relating to nervous system; research study; response; visual adaptation; visual information

DESCRIPTION (provided by applicant): A major goal of visual systems neuroscience understands how visual information is encoded by sensory cortical neurons and how their activity is then decoded to guide behavior. It is well known that the recent history of visual experience (adaptation) can often profoundly influence both the responses of individual neurons as well as subjects' perceptual judgments. Thus, a comprehensive understanding of how the visual system gives rise to perception and behavior in diverse natural environments requires determining how sensory adaptation affects the encoding and decoding of visual information by populations of neurons. We will address these questions using chronic multi-electrode arrays to simultaneously record the activity of dozens of neurons in area V1 of macaque monkeys, while animals perform a well-defined perceptual task. First, we will characterize the way in which adaptation influences the representation of information in the neuronal population, by measuring the structure of cortical network activity in un-adapted and adapted states. Second, we will address how that network activity is decoded in both un-adapted and adapted sensory states, by relating trial-by-trial fluctuations in population activity to the animal's perceptual decisions This study will elucidate how activity in neural circuits is altered by recent visual experience, ad how downstream decision areas interpret this plasticity. A thorough understanding of how adaptation influences the encoding of visual information and the decoding of neural activity is needed to address how computations within the visual system accommodate recent changes in the sensory environment. Basic knowledge of these influences within a cortical region whose physiological and anatomical properties are well-known will aid in identifying aberrant sensory function due to various mental disorders.

描述(申请人提供)：视觉系统神经科学的一个主要目标是了解视觉信息是如何由感觉皮质神经元编码的，以及它们的活动如何被解码以指导行为。众所周知，视觉体验(适应)的近期历史往往会深刻地影响个体神经元的反应以及受试者的知觉判断。因此，全面了解视觉系统如何在不同的自然环境中产生感知和行为，需要确定感觉适应如何影响神经元群体对视觉信息的编码和解码。我们将使用慢性多电极阵列来同时记录猕猴V1区数十个神经元的活动，同时动物执行明确的知觉任务，以解决这些问题。首先，我们将通过测量非适应状态和适应状态下皮质网络活动的结构，来表征适应影响神经元群体中信息表示的方式。其次，我们将通过将群体活动的逐次试验波动与动物的感知决定联系起来，通过将未适应和适应的感觉状态下的网络活动解码。这项研究将阐明神经回路中的活动如何因最近的视觉经验而改变，以及下游决策区域如何解释这种可塑性。需要彻底了解适应如何影响视觉信息的编码和神经活动的解码，以解决视觉系统内的计算如何适应感觉环境的最近变化。基本了解大脑皮质区域的这些影响，其生理和解剖学特性是众所周知的，这将有助于识别由于各种精神障碍而导致的感觉功能异常。