Biophysical models of human olfactory intensity perception
Biophysical models of human olfactory intensity perception
批准号:
10589044
负责人:
Robert Pellegrino
金额:
$6.95万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-03-15 至 2024-02-28
关键词:
AirAlgorithmsApplications GrantsBiologyBiophysicsBrainChemical StructureChemicalsClassificationCochlear ImplantsCodeColorCompetitive BindingComplexComplex MixturesCoupledDataData SetDetectionDimensionsDisciplineDoseElderlyElectronicsEngineeringFlame IonizationFoodGas ChromatographyGoalsHumanImplantIndividualLifeLinkLiquid substanceLoudnessMachine LearningMathematicsMeasuresMedicineMethodsModelingMolecularMolecular StructureOdorsOlfactory dysfunctionPerceptionPerformancePhasePhotonsPhysicsPropertyProxyPsychophysicsPublishingRegulationReportingResearchResearch PersonnelScientific Advances and AccomplishmentsScientistSensorySensory ReceptorsSignal TransductionSmell PerceptionSpecific qualifier valueStimulusStructureTechniquesTestingTrainingTraining SupportUpdateVisionauditory stimulusbiophysical modelcareerclinical applicationclinically relevantdeafdigitalfood sciencehigh dimensionalityhuman modelmachine learning algorithmneuralolfactory disorderolfactory receptorphysical propertypredictive modelingreceptorresponsesingle moleculesoundtoolvisual stimulus
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
We can measure the brightness of a color and the loudness of a sound because we have related these
perceptual properties to physical properties. This has not been done for olfaction. Knowing the basic unit of
intensity is essential to understand other aspects of a sense. For instance, just as color shifts with brightness,
the smell of an odor is relative to its intensity. In fact, most naturally occurring odors are not one molecule, but
mixtures of many molecules at different intensities. At the olfactory receptor level, we know that one odorant
may inhibit another leading to a change in each other’s strength. Knowing how and what interactions take
place in an odor mixture has clinical relevance. If we understand interactions in odor mixtures, we could
suppress unappetizing odorants in medicines that lead to lack of compliance as well as increase palatable
odorants in individuals with partial loss (e.g. elderly). Furthermore, knowing mixture intensity will supplement
fields trying to accurately measure odors (environmental regulation) or recreate them (food science). In this
proposal, I will collect high-quality, public data sets linking molecular structure to perceived intensity and build
open-access tools to provide practical, accessible predictions to advance the scientific field.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.3389/fnsys.2022.885304
发表时间:
2022
期刊:
FRONTIERS IN SYSTEMS NEUROSCIENCE
影响因子:
3
作者:
[Veldhuizen, Maria G., Cecchetto, Cinzia, Fjaeldstad, Alexander W., Farruggia, Michael C., Hartig, Renee, Nakamura, Yuko, Pellegrino, Robert, Yeung, Andy W. K., Fischmeister, Florian Ph. S.]
通讯作者:
Fischmeister, Florian Ph. S.
DOI:
10.3389/fnsys.2022.865929
发表时间:
2022
期刊:
FRONTIERS IN SYSTEMS NEUROSCIENCE
影响因子:
3
作者:
[Farruggia, Michael C., Pellegrino, Robert, Scheinost, Dustin]
通讯作者:
Scheinost, Dustin
海外基金