Cell-type specific characterization of neuronal activity throughout V1
Cell-type specific characterization of neuronal activity throughout V1
批准号:
10231008
负责人:
NA Ji
金额:
$38.75万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-15 至 2023-06-30
关键词:
Automobile DrivingAxonBehavioralBrainCalciumCellsComplexDataData AnalysesData Science CoreData ScientistData SetData Storage and RetrievalDevelopmentElectrophysiology (science)ExplosionFeedbackFluorescence MicroscopyFunctional ImagingGene Expression ProfilingHeadImageImaging technologyIn SituIn VitroInvestigationLocationMeasurementMeasuresModelingMusNeuronsOpticsPatternPhysiologicalPopulationProtocols documentationRNAResolutionScanningSensorySpecificitySpeedStimulusSynapsesTechniquesTechnologyTestingTheoretical modelTimeV1 neuronValidationWorkadaptive opticsawakebasecalcium indicatorcell typedata analysis pipelinedesignexperimental studyimaging studyin vivoin vivo imaginglarge scale datamodel developmentmovieneural circuitneuronal cell bodypredictive modelingrelating to nervous systemresponsetheoriestwo-photonvisual stimulus
中文摘要
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英文摘要
SUMMARY
To constrain and test models of V1, we need to comprehensively characterize the physiological responses of
neurons as well as their main inputs in all six cortical layers. However, imaging neuronal cell bodies or axons
deep in the cortex has remained a major technical challenge. The Ji lab made critical breakthroughs in
applying adaptive optics to correct brain-induced optical aberrations for in vivo two-photon fluorescence
microscopy, so that the activity of axons, boutons, and neurons can be captured across the full depth of cortex.
Using Bessel focus scanning technology, the Ji lab also demonstrated high speed (30 Hz) volumetric calcium
imaging with synaptic resolution in vivo. In awake mice and under different brain states, these technologies will
be used to measure neural activity of both cortical neurons and their main sensory and modulatory inputs in
response to a concerted set of visual stimuli including natural movies to rigorously test model predictions.
Combined with subsequent in vitro functional connectivity mapping and post hoc cell type identification, we will
generate, for the first time, datasets where every neuron within V1 is described by its location, responses to
known stimuli, connectivity pattern, and cell type, to guide and validate the modeling projects.
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海外基金