Neural circuit mechanisms for color vision
色觉的神经回路机制
基本信息
- 批准号:10404925
- 负责人:
- 金额:$ 38.58万
- 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:2018-08-01 至 2024-04-30
- 项目状态:已结题
- 来源:
- 关键词:AnatomyAnimal ModelAnimalsAxonBehaviorBehavioral AssayBrainBrain regionCodeColorColor PerceptionColor VisionsComplexComputational algorithmConeCuesDataDevelopmentDiscriminationDrosophila genusDrosophila melanogasterElectron MicroscopyElectrophysiology (science)EyeGeneticGenetic ModelsGoalsHumanIndividualIntentionInvertebratesInvestigationLateral Geniculate BodyLightLinkLogicMammalsMeasuresMethodsModelingNeuronsOrganismOutputPathologyPathway interactionsPerceptionPhotoreceptorsPopulationProblem SolvingProcessPropertyResearchRetinaRhodopsinRoleSensorySignal TransductionSynapsesSystemTechniquesVisionVisualVisual system structurecell typeconnectome dataexperimental studyflyin vivo two-photon imagingmemberneural circuitneuromechanismneuronal circuitrynovelobject recognitionoperationparallel computerpostsynapticpostsynaptic neuronsrelating to nervous systemresponsetoolvisual informationvisual processing
项目摘要
Color vision is an important aspect of our perception of the world, enhancing our recognition of objects in complex
visual scenes and allowing us to assign them an identity and quality. How are colors encoded in the brain?
Despite decades of research, this question remains unanswered. It is widely accepted that color opponent
neurons, responding with opposite polarity to wavelengths in different parts of the spectrum, are the building
blocks for color vision. However, how color opponent neuron signals are combined to give rise to hue-specific
neurons, with narrow spectral sensitivity, and how these neurons contribute to color perception is unknown.
Analyses of color circuits in a genetically tractable organism are critical to answering these questions. Drosophila
melanogaster provides a powerful system to investigate how a compact brain solves the problem of color coding,
combining genetic access to cell-type-specific neural populations, a well-defined neural anatomy, and
sophisticated behaviors. Moreover, vertebrate and invertebrate visual systems present many functional
similarities. The fact that these diverse systems show convergence in solutions to visual processing problems
motivates our investigation in a simple model, with the intention of extracting fundamental principles of relevance
to mammalian systems. Fruit flies are capable color discrimination and have the hardware necessary for
wavelength comparison: four types of cone-like photoreceptors each expressing a unique narrow-band
rhodopsin of different wavelength sensitivity, ranging from UV to green. However, the way spectral information
from these photoreceptors is processed in the brain is unknown and is the focus of this proposal. We will use
genetic neural manipulation techniques, in vivo two-photon imaging, electrophysiology, and behavioral assays
augmented by quantitative analysis and modeling, to identify the computational algorithms and neural
mechanisms that govern color vision. Aim 1 will ask what kind of spectrally opponent mechanisms exist in
Drosophila and determine the identity of neurons and synaptic interactions in the underlying circuits. We will, in
addition, generate tools to disrupt color opponent signals. Aim 2 will use connectomics data in conjunction with
tracing methods to define and functionally characterize color circuits postsynaptic to color photoreceptors. We
will investigate how color-opponent signals are integrated to give rise to higher order color neurons. Aim 3 will
characterize how the response of neurons in these circuits support both innate and learned color-guided
behaviors, marking an experimental effort to draw a causal link between color opponency, color circuits and color
perception, an approach that has been difficult in classical, non-genetically tractable, models for color vision.
These studies will provide a detailed understanding of how spectral information is processed in the fly brain and
serve as a guide to investigate wavelength computations underlying color vision in the brain of more complex
animals.
色觉是我们感知世界的一个重要方面,增强了我们对复杂物体的识别能力
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Exploiting colour space geometry for visual stimulus design across animals.
- DOI:10.1098/rstb.2021.0280
- 发表时间:2022-10-24
- 期刊:
- 影响因子:6.3
- 作者:Christenson, Matthias P.;Mousavi, S. Navid;Oriol, Elie;Heath, Sarah L.;Behnia, Rudy
- 通讯作者:Behnia, Rudy
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Roudabeh Behnia其他文献
Roudabeh Behnia的其他文献
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{{ truncateString('Roudabeh Behnia', 18)}}的其他基金
Neural circuit mechanisms for multisensory associative learning
多感觉联想学习的神经回路机制
- 批准号:
10524400 - 财政年份:2022
- 资助金额:
$ 38.58万 - 项目类别:
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