Functional specialization of foveal visual cortex
Functional specialization of foveal visual cortex
批准号:
9207462
负责人:
DANIEL A BUTTS
金额:
$15.2万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-02-01 至 2019-01-31
关键词:
AddressAffectAge related macular degenerationAmericanAnimalsAutomobile DrivingBehaviorBlindnessCerealsCollaborationsColor VisionsDevelopmentDiseaseElderlyElectrodesElectrophysiology (science)ElementsExploratory/Developmental GrantEyeEye MovementsFaceFoundationsFutureHealthHumanImageMacacaMeasurementMeasuresMethodsModelingNeuronsNeurophysiology - biologic functionNon-linear ModelsPathologic NystagmusPatientsPerceptionPeripheralPhysiologyPlayPositioning AttributePrimatesProceduresProcessPsychophysicsReadingReportingResolutionRetinaRetinalRoleSaccadesSignal TransductionStimulusTestingUnited States National Institutes of HealthV1 neuronVisionVision DisparityVisualVisual AcuityVisual CortexVisual FieldsVisual PerceptionWorkWritingarea striataawakebasecolor processingexperimental studyfovea centralisgazeinsightinterestnovelnovel therapeuticsreceptive fieldrelating to nervous systemresearch studysample fixationspatiotemporalstatisticsstimulus processingvisual processingvisual stimulus
中文摘要
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英文摘要
PROJECT SUMMARY
Despite decades of research studying primate primary visual cortex (V1), remarkably little is known about
cortical processing in the region representing the central few degrees of the visual field: the fovea. This is
particularly notable given that a disproportionately large fraction of V1 is dedicated to foveal processing, and
the “central” role of the fovea in both human visual perception and behavior. Studies of foveal V1 function have
been greatly limited by the inability to track an animal's eye position with sufficient accuracy to reconstruct the
position of the visual stimulus on the retina. We have recently developed a model-based eye tracking method
to address this problem, which can continuously infer eye position with sufficient accuracy to study foveal V1
processing. We thus propose to perform the first detailed studies of stimulus processing in foveal V1. Simply
put, it is not known whether the enormous body of work studying V1 outside the fovea is applicable to foveal
V1, and whether there are critical elements of cortical function that only might be observed in the fovea. Due to
the different dynamics of visual input to the fovea that are driven by eye movements, the different composition
of retinal inputs, and the distinct functional roles the fovea plays in visual perception, we expect to identify
fundamental differences in foveal V1 function. We will perform multi-electrode recordings across eccentricity in
awake macaque, and target analyses to three aspects of visual processing expected to be different: (1) tuning
for spatiotemporal elements of vision; (2) tuning to binocular disparity; and (3) color processing. We expect that
this proposed study will reveal substantial differences in the stimulus processing of foveal neurons, potentially
transforming our current understanding of visual processing in the cortex.
Health Relevance. Understanding the unique functional role of foveal V1 in visual processing will provide
critical insight into how human visual perception is constructed, and will likewise inform our understanding of
the effects of many disorders that impact central vision. For example, age-related macular degeneration (AMD)
is a leading cause of vision loss of Americans 60 and older. Patients with advanced AMD retain their peripheral
vision, but lose vision in the fovea, resulting in severe difficulties with a wide range of important tasks requiring
high-acuity vision, including reading, writing, driving, and object/facial recognition. Likewise, a range of
disorders such as nystagmus can disrupt normal eye movements and fixations, thereby disproportionally
affecting foveal vision. A better understanding of neural function subserving foveal vision could yield insights
into their effects on visual perception and potentially facilitate the development of novel therapeutic strategies.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
Characterizing the nonlinear structure of shared variability in cortical neuron populations using latent variable models
使用潜变量模型表征皮质神经元群体共享变异性的非线性结构
DOI:
--
发表时间:
2018
期刊:
bioRxiv
影响因子:
--
作者:
[Matthew R Whiteway, Karolina Z. Socha, V. Bonin, D. Butts]
通讯作者:
D. Butts
海外基金