Exploring dopamine function during naturalistic behavior
Exploring dopamine function during naturalistic behavior
批准号:
10687836
负责人:
Sandeep R Datta
金额:
$82.92万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-15 至 2024-07-31
关键词:
3-DimensionalAnimal BehaviorAnimal Disease ModelsAnimalsAxonBasal GangliaBehaviorBehavioralCodeColorCorpus striatum structureCuesDopamineEducational process of instructingEnvironmentFeedbackFoodFutureIndividualLearningMidbrain structureMonitorMotionMotivationMotorMovementMusNeuronsOutcomeParkinson DiseasePartner in relationshipPathway interactionsPatternPhotometryPhysiologicalPlayPsychological reinforcementRewardsRoleShapesShelter facilitySignal TransductionSourceSpeedSubstantia nigra structureTechnologyTimeTrainingVentral Tegmental AreaVertebratesWaterWorkcomputer frameworkdopaminergic neuronexperimental studylearned behaviormotor behaviormotor controlneuralnew technologynoveloptogeneticspars compactaphase changeresponserestraintstatisticstime intervalvirtual
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project abstract
Animals explore their environment spontaneously in order to obtain food, water and shelter, as well as to find
mates. Feedback from the environment, including the acquisition of rewards (such as those listed above) or
avoiding aversive outcomes (such as encountering a predator), alters the future behavior of the animal. This
form of learning and adaptation is essential to survival and, in vertebrates, is shaped by the basal ganglia and
strongly influenced by neurons that make dopamine. Here we examine when dopamine neurons are active
during free exploration and how that activity is influenced by the virtual acquisition of an expected reward, or a
reward triggered by the execution of a specific motor action. We will compare the activity of two different
sources of dopamine that have been differentially implicated in signaling reward and in executing motor
actions. Lastly, we will examine how the activity of dopamine neurons regulates their downstream targets to
sculpt on going and future motor action. Our results will be integrated into a computational framework that will
be used to guide future research into motor control, dopamine signaling, and behavioral adaptation.
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