CRCNS: Visual Modulation of Panoramic Auditory Spatial Processing

CRCNS：全景听觉空间处理的视觉调制

基本信息

批准号：
10645054
负责人：
Yi Zhou
金额：
$ 37.98万
依托单位：
ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-07-01 至 2025-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10645054
关键词：
Action Potentials Alpha Rhythm Area Attention Auditory Auditory Perception Auditory area Back Benchmarking Beta Rhythm Biophysics Brain Callithrix Classification Code Communication Complex Computer Models Cues Data Data Analyses Environment Eye Face Feedback Generations Goals Hearing Human Impairment Instruction Linear Models Location Maps Modality Modeling Monkeys Nervous System Neurons Outcome Output Perception Phase Photic Stimulation Physical environment Population Population Distributions Positioning Attribute Programming Languages Property Research Restaurants Sensory Social Environment Source Space Perception Specificity Standardization Statistical Models Stimulus Techniques Theoretical Studies Validation Vision Visual Visual Fields Visuospatial Work cell type data sharing experience experimental study extracellular hearing impairment improved multisensory neural neural circuit neural network neuromechanism neurophysiology preference response sensory input sensory integration simulation sound source localization theories visual information vocalization

项目摘要

In everyday activity, our sense of space is guided by coordinated multisensory analyses of sensory information from the surrounding environment. Multisensory spatial information is critical for identifying and attending to a target sound in a noisy environment (e.g., night bars, restaurants). Multisensory information is also crucial for detecting heard but unseen dangers because the spaces encoded by sounds and sights do not always align. For foveal species like humans and monkeys, the visual field is restricted to the frontal space, whereas the auditory field is panoramic, covering the entire frontal and rear space. The rear space, however, has been largely overlooked in multisensory research. It remains largely unknown where and how vision directly influences auditory spatial processing in the brain. The long-term objective of this study is to understand the fundamental strategies of multisensory spatial perception and cortical neural mechanisms that implement these strategies in the brain. This proposal will investigate how visual information modulates auditory encoding of 360-degree, panoramic space in auditory cortex using an integrated approach based on neurophysiology, mechanistic computational modeling, and predictive statistical modeling. We hypothesize that visuo-spatial information increases auditory representation of the frontal space by changing the directional preference of neural network dynamics. Neurophysiological experiments will provide a comprehensive assessment of changes in the 360-degree spatial tuning of auditory cortex neurons after frontal visual stimulation. Computational models will aid in identifying putative cell types and reveal how heterogeneous recorded extracellular spiking waveforms depend on stimulus conditions and cell type. Predictive statistical modeling will determine the sources of variance in cortical neuron spiking data and will predict spiking output of different cell types under different conditions, all with laminar specificity. This integrated approach will provide an understanding of visual modulation of auditory spatial processing with a focus on the layer-specific interactions between local rhythm generators and single unit activity. The impact of this work will be maximized through sharing of data in standardized formats, rigorous and transparent model validation, and use of model description standards, which allows for code generation for simulating models in many different programming languages or simulation platforms for model re-use. RELEVANCE (See instructions): The ability of the nervous system to integrate multisensory inputs is essential to communications in complex sensory and social environments. Impairment of this ability is the most noticeable outcome of hearing loss. Identifying how the auditory cortex encodes sound features in a visual environment will improve our understanding of how multisensory perception might be implemented in neural circuits, thereby revealing potential sources of perceptual impairment in real-world conditions.

在日常活动中，我们的空间意识由感觉的多感觉分析指导来自周围环境的信息。多感官空间信息对于识别和在嘈杂的环境（例如，夜酒吧，餐馆）中参与目标声音。多感官信息对于发现听到但看不见的危险也是至关重要的，因为空间由声音和瞄准镜编码并不总是对齐。对于像人类和猴子这样的凹起物种，视野仅限于额叶空间，而听觉场是全景，覆盖了整个额叶和后方空间。后空间，但是，多感觉研究在很大程度上被忽略了。它在很大程度上是未知的视觉直接影响大脑中的听觉空间处理。这项研究的长期目标是了解多感觉空间感知和皮质神经机制的基本策略在大脑中实施这些策略。该建议将调查视觉信息如何调节使用基于集成方法的听觉皮层中360度，全景空间的听觉编码关于神经生理学，机械计算建模和预测统计建模。我们假设视觉空间信息通过改变神经网络动力学的定向偏好。神经生理实验将进行对360度的听觉皮层的空间调整进行全面评估正面视觉刺激后神经元。计算模型将有助于确定推定的细胞类型和揭示异质记录的细胞外峰值波形如何取决于刺激条件和细胞类型。预测统计建模将确定皮质神经元尖峰的差异来源数据并将在不同条件下预测不同细胞类型的尖峰输出特异性。这种集成的方法将提供对听觉空间的视觉调制的理解处理局部节奏发生器和单个单元之间的特定层特定相互作用的处理活动。这项工作的影响将通过以标准化格式共享数据来最大化以及透明的模型验证以及模型描述标准的使用，该标准允许代码生成用于在许多不同的编程语言或模拟平台中模拟模型的生成重复使用模型。相关性（请参阅说明）：神经系统整合多感官输入的能力对于通信至关重要复杂的感官和社会环境。这种能力的损害是最明显的结果听力损失。确定听觉皮层在视觉环境中如何编码声音功能提高我们对在神经回路中如何实现多感官感知的理解，从而在现实情况下揭示了感知损害的潜在来源。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows.

DOI：
10.7554/elife.69013
发表时间：
2022-07-06
期刊：
ELIFE
影响因子：
7.7
作者：
Eriksson, Olivia;Bhalla, Upinder Singh;Blackwell, Kim T.;Crook, Sharon M.;Keller, Daniel;Kramer, Andrei;Linne, Marja-Leena;Saudargiene, Ausra;Wade, Rebecca C.;Kotaleski, Jeanette Hellgren
通讯作者：
Kotaleski, Jeanette Hellgren

Editorial: Listening with two ears - new insights and perspectives in binaural research.