Auditory Memories and Vocal Learning
听觉记忆和声音学习
基本信息
- 批准号:8465860
- 负责人:
- 金额:$ 30.24万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-07-01 至 2016-05-31
- 项目状态:已结题
- 来源:
- 关键词:AcousticsAffectAmazeAnatomyAreaAuditoryAuditory areaAuditory systemBehavioralBiological ModelsBirdsCell NucleusClassificationCochlear ImplantsCognitiveCommunicationComplexComprehensionDataDetectionDevelopmentDiscriminationElectrodesEmotionalEnvironmentFamiliarityFundingGlassGoalsHearing AidsHumanInformation TheoryKnowledgeLateralLeadLearning DisabilitiesLinkMapsMedialMediatingMemoryMental disordersMethodsMicroelectrodesMidbrain structureMusicNeuronsNoisePerceptionPopulationPreparationProcessPropertyResearchRoleSignal TransductionSongbirdsSourceSpeechStreamStructureStructure-Activity RelationshipSynapsesSystemSystems AnalysisTechniquesTestingThalamic structureVoiceWorkadvanced systemanalogauditory pathwayawakebasecell typecomputerized data processingdesignextracellularfallsfunctional groupmaleneural circuitneural prosthesisnext generationnovelreceptive fieldrelating to nervous systemresearch studyresponseskillssoundspeech recognitionvocal learningvocalization
项目摘要
DESCRIPTION (provided by applicant): Our auditory system analyzes complex sound waveforms in an amazing diversity of ways. First, it extracts features that give us the percepts of rhythm, timbre and pitch. Simultaneously those features are combined and compared to stored memories to produce higher-order percepts such as the meaning of speech, the speaker's identity and her emotional state. Second, these auditory tasks are often performed with environmental noise or other interfering acoustical signals in the background. Finally, our auditory system needs also to process the sound of our own voice to guide our vocalizations. We propose to study the auditory system of songbirds as a model system to understand the neural computations of circuitry underlying these diverse abilities. In previous work, we have characterized responses in the avian auditory midbrain, thalamus and in the primary and secondary auditory cortex. We have shown that auditory neurons are specialized to represent natural sounds and that we can explain this specialization from their tuning properties. We also found evidence for parallel functional processing streams: auditory neurons in the midbrain and thalamus fall into different functional types based on how they decompose sound into features that are crucial for different auditory percepts. Our major goals for this project are 1) to relate the functional properties of neurons to the anatomy and microcircuitry of the auditory cortex, 2) to begin to unravel the cellular computations that lead to the observed functional specialization and 3) to investigate the computations in the primary and secondary auditory cortex that could allow the system to process signals in noise. To achieve these goals we will record from single neurons in the anesthetized preparation, both with multi-electrode arrays for extracellular recordings or with glass electrodes for intracellular recordings and immunohistochemical work. We will also record neural activity in awake behaving birds using a miniaturized electrode drive. The birds will be placed in situations that elicit them to actively communicate. In all our experiments, we will analyze the neurons' tuning and selectivity using state-of-the-art techniques from systems analysis and information theory. Our studies will elucidate the roles of different circuits within auditory cortex in processing complex sounds such as speech and music. This knowledge will be essential to understand how dysfunctional auditory processing in certain mental disorders affects speech recognition and consequently other cognitive skills. Our work could also be instrumental in the development of novel signal processing methods for auditory neural prosthetics.
描述(由申请人提供):我们的听觉系统以惊人的方式分析复杂的声音波形。首先,它提取了使我们感知节奏,音色和音调的特征。同时将这些特征结合在一起,并将其与存储的记忆进行比较,以产生更高阶段的感知,例如言语的含义,说话者的身份和她的情绪状态。其次,这些听觉任务通常是通过环境噪声或背景中的其他干扰信号执行的。最后,我们的听觉系统还需要处理我们自己声音的声音以指导我们的发声。我们建议将鸣禽的听觉系统作为模型系统,以了解这些不同能力的电路的神经计算。在以前的工作中,我们表征了禽听觉中脑,丘脑以及主要和次级听觉皮层中的反应。我们已经表明,听觉神经元专业代表自然声音,并且可以从其调整属性中解释这种专业化。我们还发现了平行功能处理流的证据:中脑和丘脑中的听觉神经元根据如何将声音分解为对不同听觉感知至关重要的特征。该项目的主要目标是1)将神经元的功能特性与听觉皮层的解剖结构和微路相关联,2)开始揭示导致观察到的功能专业化的细胞计算和3)研究的计算,以调查可能允许系统中噪声信号的主要和次级听觉皮质中的计算。为了实现这些目标,我们将在麻醉制剂中记录单个神经元,既有用于细胞外记录的多电极阵列,也可以使用用于细胞内记录和免疫组织化学工作的玻璃电极。我们还将使用微型电极驱动器记录清醒行为鸟类的神经活动。这些鸟将被置于引起它们积极交流的情况下。在所有实验中,我们将使用系统分析和信息理论的最新技术分析神经元的调整和选择性。 我们的研究将阐明听觉皮层在处理复杂声音(例如语音和音乐)中不同电路的作用。这些知识对于了解某些精神障碍中的听觉处理如何影响语音识别以及因此其他认知技能至关重要。我们的工作也可能在开发新型的听觉神经假体信号处理方法方面发挥了作用。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Frederic E. THEUNISSEN的其他文献
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{{ truncateString('Frederic E. THEUNISSEN', 18)}}的其他基金
Auditory Circuits for Interpreting Vocal Communication Signals
用于解释语音通信信号的听觉电路
- 批准号:
10054967 - 财政年份:2020
- 资助金额:
$ 30.24万 - 项目类别:
Auditory Circuits for Interpreting Vocal Communication Signals
用于解释语音通信信号的听觉电路
- 批准号:
10540732 - 财政年份:2020
- 资助金额:
$ 30.24万 - 项目类别:
Auditory Circuits for Interpreting Vocal Communication Signals
用于解释语音通信信号的听觉电路
- 批准号:
10322067 - 财政年份:2020
- 资助金额:
$ 30.24万 - 项目类别:
CRCNS: Hierarchical Computations for Vocal Communication.
CRCNS:语音通信的分层计算。
- 批准号:
9471964 - 财政年份:2017
- 资助金额:
$ 30.24万 - 项目类别:
2010 'Sensory Coding and the Natural Environment'; Gordon Research Conference
2010年《感觉编码与自然环境》;
- 批准号:
8005595 - 财政年份:2010
- 资助金额:
$ 30.24万 - 项目类别:
CRCNS: Ethological theories: optimal auditory processing
CRCNS:行为学理论:最佳听觉处理
- 批准号:
6887569 - 财政年份:2004
- 资助金额:
$ 30.24万 - 项目类别:
CRCNS: Ethological theories: optimal auditory processing
CRCNS:行为学理论:最佳听觉处理
- 批准号:
6904438 - 财政年份:2004
- 资助金额:
$ 30.24万 - 项目类别:
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