Sensory processing downstream of primary auditory cortex

项目摘要/摘要 应聘者：我的职业目标是开发一个独立的研究项目，考察等级制度 核心听觉皮质下游听觉信息的转换支持声音驱动的决策。我的 以前的培训经验让我掌握了听觉神经生理学的技术和智力技能， 行为神经科学，以及听力损失导致的听觉处理和感知缺陷。我提议 通过在沙鼠同时进行无线皮质录音来扩展我的技能集 在清醒状态下执行复杂的听觉任务，药物和化学作用减弱神经活动- 动物行为，以及心理物理和神经数据的统计建模。在K99阶段，我将 通过发展成功的粉笔演讲所需的技能，为我向独立的过渡做准备， 计划工作面试策略，并获得有效的实验室管理应用程序。在R00阶段结束时，我 计划拥有良好的出版记录和充足的初步数据，这将导致R01申请成功。 环境：这个奖项的K99阶段将在纽约的神经科学中心举行 大学；这是该奖项拟议培训阶段的理想地点。我的主要导师丹·萨内斯博士 在发育可塑性和听神经科学方面拥有30年以上的经验。他的实验室利用 创新的生理学、药理学和解剖学技术，包括体外切片生理学， 无线细胞外清醒行为记录，神经活动的药物操作，光遗传学， 以及用病毒载体进行解剖路径追踪。额外的指导将由王晓琴博士(John 霍普金斯大学)，他在声学信息的神经编码方面拥有25年以上的经验 沿听觉神经轴和神经生理记录清醒准备，和Roozbeh Kiani博士 (纽约大学)，他是知觉决策神经机制方面的专家。 研究：声信号的神经表示在上升的每个轨迹上进行转换 听觉通路。这种分级处理的主要特征的一个例子是增加 整合时间(即，完全编码感觉线索所需的时间)跨越较高的听觉皮质。目前， 目前还不太确定听觉信息如何从其所在的核心听觉皮质(ACX)向下游转移 与其他感官输入相集成，并支持声音驱动的决策。神经的摄动 ACX下游的顶叶皮质(PC)的活动将在进行听觉测试的动物身上进行 时间整合任务，确定PC对于观察到的行为时间整合是否是必需的 次数(K99)。将在ACX和PC上对清醒行为的动物进行无线记录 听觉时间整合任务，揭示支持知觉整合时间的神经表征 (K99)。类似的方法将被用来确定PC的神经表示是否与 支持在综合多感官状态下的任务表现(R00)。

Project Summary/Abstract Candidate: My career goal is to develop an independent research program that examines how hierarchical transformations of auditory information downstream of core auditory cortex supports sound-driven decisions. My previous training experiences has provided me with technical and intellectual skills on auditory neurophysiology, behavioral neuroscience, and hearing loss-induced deficits in auditory processing and perception. I propose to expand my skill set with additional training by conducting wireless cortical recordings while gerbils simultaneously perform a complex auditory task, pharmacological and chemogenetic attenuation of neural activity in awake- behaving animals, and statistical modeling of psychophysical and neural data. During the K99 phase, I will prepare my transition to independence by developing the necessary skills for producing a successful chalk talk, plan job interview strategies, and gain effective lab management applications. By the end of the R00 phase, I plan to have a strong publication record and ample preliminary data that will lead to a successful R01 application. Environment: The K99 phase of this will be award will take place in the Center for Neural Science at New York University; an ideal location for the proposed training phase of this award. My primary mentor, Dr. Dan Sanes, possesses 30+ years of experience in developmental plasticity and auditory neuroscience. His laboratory utilizes innovative physiological, pharmacological, and anatomical techniques that include in vitro slice physiology, wireless extracellular awake-behaving recordings, pharmacological manipulation of neural activity, optogenetics, and anatomical tract tracing with viral vectors. Additional mentoring will be provided by Dr. Xiaoqin Wang (John Hopkins University), who has 25+ years of experience as an expert in the neural coding of acoustic information along the auditory neuroaxis and neurophysiological recordings in awake preparations, and Dr. Roozbeh Kiani (New York University), who is an expert in the neural mechanisms of perceptual decision-making. Research: The neural representations of acoustic signals are transformed at each locus of an ascending auditory pathway. An example of a principal characteristic of this hierarchical processing is the increase of integration time (i.e., the time required to fully encode a sensory cue) across higher auditory cortices. Currently, it is less certain how auditory information is transformed downstream from core auditory cortex (ACx) where it becomes integrated with other sensory inputs, and supports sound-driven decisions. Perturbations of neural activity in parietal cortex (PC), a region downstream of ACx, will be made in animals performing an auditory temporal integration task to determine whether PC is necessary for the observed behavioral temporal integration times (K99). Wireless recordings will be made in ACx and PC from awake-behaving animals performing an auditory temporal integration task to reveal the neural representations that support perceptual integration times (K99). Similar approaches will be used to determine whether the neural representation of PC correlates and supports task performance during a combined multisensory condition (R00).