Multiscale modeling of the cocktail party problem
鸡尾酒会问题的多尺度建模
基本信息
- 批准号:10198742
- 负责人:
- 金额:$ 44.76万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-01 至 2023-05-31
- 项目状态:已结题
- 来源:
- 关键词:AcousticsAdultAgingAnimalsArchitectureAreaAttentionAuditoryAuditory PerceptionAuditory areaBrainClutteringsCognitiveCommunicationComplexCuesDataDatabasesDiagnosisEarElectroencephalographyElectrophysiology (science)EngineeringEnvironmentFaceFailureFeedbackFerretsGoalsHealthHearingHearing AidsHumanImpairmentIndividualKnowledgeLifeLightLinguisticsMedicalMemoryMethodsModelingMonitorNatureNeuronal PlasticityNeuronsPatternPerceptionPersonal SatisfactionPhysiologyPlayPopulationProcessPsychoacousticsPsychophysicsResearchResolutionRoleSchemeSensorySensory AidsSensory ProcessShapesShort-Term MemorySpeechStimulusStructureSystemTechniquesTechnologyTestingTimeTrainingTranslatingValidationWorkaging brainawakebasebrain shapecognitive controlcognitive processcommunication aiddynamic systemexperimental studyhearing impairmenthuman subjectimprovedinnovationinterestlong term memorymulti-scale modelingneural circuitneural correlatenovelnovel strategiesperceptual organizationpredictive modelingpreservationrelating to nervous systemresponsesegregationsensory integrationsensory mechanismsoundspeech recognitiontheoriestranslational impact
项目摘要
Project summary
At every instant of our lives, a cacophony of sounds impinges on our ears and challenges our brain to make
sense of the complex acoustic environment in which we live – a phenomenon referred to as the cocktail party
problem (CPP). Up till now, efforts to understand this phenomenon focused on the role of acoustic cues in
shaping sensory encoding of auditory objects in the brain. Yet, listening is not the same as hearing. It engages
both sensory and cognitive processes to enable the brain to adapt its computational primitives and neural
encoding to the changing soundscape and shifting demands to attend to various sounds in the scene. The current
proposal puts forth an adaptive theory of auditory perception which integrates the role of both sensory
mechanisms and cognitive control in a unified multiscale theory that combines neural processes at the level of
single neurons, neural populations and across brain areas. Central to this hypothesis is the role of rapid neural
plasticity that reshapes brain responses to acoustic stimuli according to the statistical structure of the
soundscape, guided by feedback mechanisms from memory and attention. The research plan translates this
hypothesis into a unified multiscale model employing a distributed inference architecture (Aim 1). This scheme
employs hierarchical dynamical systems that track the statistical structure of the stimulus at different resolutions
and time-scales, and adapt their responses based on both memory and attentional priors. This architecture is
used as springboard to predict the interaction between sensory and cognitive mechanisms at play during the
CPP. It also affords a general solution to the scene analysis problem that will be interfaced with existing sound
technologies (e.g. speech recognition, medical diagnosis, target tracking and surveillance). This computational
effort is informed and validated with empirical data (Aim 2) from experiments in human subjects, using
psychoacoustics and EEG; as well as single-unit electrophysiology in behaving ferrets. The experiments shed
light of neural processes underlying the CPP using rich stimuli that manipulate the statistical structure as well as
attentional focus of subjects (humans/animals). The final integrated theory is refined in perceptual studies in
young and aging adults whose perception is highly challenged by complex listening soundscapes (Aim 3). This
effort generates testable predictions about failures in auditory perception in multisource environments especially
in aging adults and pinpoints possible malfunctions due to sensory or cognitive factors. By shedding light on the
functional principles and neural underpinnings underlying the sensory and cognitive interaction during the CPP,
the research will have a big impact on our understanding of auditory perception in cluttered scenes. In addition,
it has direct relevance to health and wellbeing, particularly for improving communication aids for the sensory
impaired and aging populations; as well as affording adaptive processing to sound technologies (e.g. speech
recognition, audio analytics) which remain for the most part static and hard-wired.
1
项目总结
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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Mounya Elhilali其他文献
Mounya Elhilali的其他文献
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{{ truncateString('Mounya Elhilali', 18)}}的其他基金
SCH: Smart Auscultation for Pulmonary Diagnostics and Imaging
SCH:用于肺部诊断和成像的智能听诊
- 批准号:
10435909 - 财政年份:2022
- 资助金额:
$ 44.76万 - 项目类别:
SCH: Smart Auscultation for Pulmonary Diagnostics and Imaging
SCH:用于肺部诊断和成像的智能听诊
- 批准号:
10590732 - 财政年份:2022
- 资助金额:
$ 44.76万 - 项目类别:
CogHear: Cognitive Hearing workshop series
CogHear:认知听力研讨会系列
- 批准号:
10071158 - 财政年份:2020
- 资助金额:
$ 44.76万 - 项目类别:
Multiscale modeling of the cocktail party problem
鸡尾酒会问题的多尺度建模
- 批准号:
9763412 - 财政年份:2018
- 资助金额:
$ 44.76万 - 项目类别:
Multiscale modeling of the cocktail party problem
鸡尾酒会问题的多尺度建模
- 批准号:
10434784 - 财政年份:2018
- 资助金额:
$ 44.76万 - 项目类别:
Smart stethoscope for monitoring and diagnosis of lung diseases
智能听诊器监测和诊断肺部疾病
- 批准号:
9158273 - 财政年份:2016
- 资助金额:
$ 44.76万 - 项目类别:
Cocktail Party Problem: Perspective on Neurobiology of Auditory Scene Analysis
鸡尾酒会问题:听觉场景分析的神经生物学视角
- 批准号:
8665851 - 财政年份:2010
- 资助金额:
$ 44.76万 - 项目类别:
Cocktail Party Problem: Perspective on Neurobiology of Auditory Scene Analysis
鸡尾酒会问题:听觉场景分析的神经生物学视角
- 批准号:
8477104 - 财政年份:2010
- 资助金额:
$ 44.76万 - 项目类别:
Cocktail Party Problem: Perspective on Neurobiology of Auditory Scene Analysis
鸡尾酒会问题:听觉场景分析的神经生物学视角
- 批准号:
8279300 - 财政年份:2010
- 资助金额:
$ 44.76万 - 项目类别:
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