A neuroethological model of sensorimotor processing in animal-animal interactions
A neuroethological model of sensorimotor processing in animal-animal interactions
批准号:
10053664
负责人:
JOSEPH PARKER
金额:
$74.93万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-01 至 2023-05-31
关键词:
AbdomenAddressAnimalsBase of the BrainBehaviorBehavior ControlBehavioralBenzoquinonesBiological ModelsBrainBrain imagingBrain regionCalciumChemicalsCognitionCommunitiesComplexCuesDataDecision MakingDevelopmentEmbryoEnvironmentFeedbackFoundationsFunctional ImagingGenetic ModelsGlandGoalsHarvestHeadHuman BiologyImageInvertebratesLinkLobeMapsMediatingMicroinjectionsMissionModalityModelingMonitorMotionMotorMotor outputMushroom BodiesNeuronsNeurosciencesOrder ColeopteraOrganismOutcomeParasitesPartner in relationshipPathway interactionsPhenotypeProceduresProcessPublic HealthReporterReproductionResearchResolutionSensorySocial BehaviorSocial EnvironmentStimulusSystemTactileTechniquesTechnologyTimeTissuesTransgenic OrganismsUnited States National Institutes of HealthVisualWorkappendagebehavioral responsebrain cellcombatfictional worksflexibilityin vivoinsightmachine visionmalemembermotor controlmultisensoryneuromechanismnovelrelating to nervous systemreproductiveresponserobotic systemsensorsensory integrationsensory stimulustooltreadmillvectorvirtual reality
中文摘要
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英文摘要
Project Summary
Animals interact with members of their own or other species in the context of social and defensive
behaviors, predator-prey relationships and symbioses. In all such contexts, execution of the appropriate
kind of interaction depends on a sensorimotor pathway that transduces information about another
organism and generates a behavioral response. Core principles of such sensorimotor pathways remain
mysterious, including how representations of other animals are constructed in the brain based on
multisensory information, and how such neural representations are appraised by decision-making
circuitry to select the appropriate action. Imaging neural activity in behaving animals offers the potential
to make breakthroughs in the mechanistic understanding of how animals interact. In particular,
generalizable insights into sensorimotor processing may come from model species with small,
minimally complex brains that are nevertheless capable of executing complex behavioral interactions.
Current small-brained model systems, however, have an inherent limitation in that they must be
physically restrained for brain imaging—a procedure that strongly restricts their capacity to engage in
behavioral interactions. To overcome this problem, tools for behavioral analysis and brain imaging will
be developed for a novel invertebrate model with a specialized phenotype that enables it to retain its
capacity to interact with other organisms even when tethered and head fixed for brain imaging. The
rove beetle, Dalotia coriaria, possesses a flexible abdomen that is used as an appendage to engage in
reproductive and aggressive interactions with conspecifics;; the abdomen also houses a targetable
chemical defense gland that can be accurately targeted to secrete noxious benzoquinones directly onto
heterospecific threats. The mode of deployment of the abdomen provides a direct readout of the
sensorimotor processing that occurs when the beetle encounters different types of animal. In this
proposal, a closed-loop virtual reality platform will be constructed in which tethered Dalotia’s behavior
can be quantified using machine vision as the beetle interacts in a naturalistic fashion with real or fictive
animals. This platform will be used to experimentally deconstruct how Dalotia integrates different
sensory modalities to build internal representations of other living organisms. Transgenic Dalotia will
be created that express a genetically-encoded calcium sensor in defined brain regions. Combining
these technologies, functional imaging of the brain of Dalotia will be achieved while the beetle performs
naturalistic interactions with other organisms. This proposal will be foundational for further exploitation
of this model system to reveal how sensorimotor processes enable animals to interact.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
The neural basis of interspecies interactions in insects.
昆虫种间相互作用的神经基础。
DOI:
10.1016/j.cois.2022.100891
发表时间:
2022
期刊:
Current opinion in insect science
影响因子:
5.3
作者:
[Kanwal,JessleenK, Parker,Joseph]
通讯作者:
Parker,Joseph
海外基金