CONVERGENT PROCESSING ACROSS VISUAL AND HAPTIC CIRCUITS FOR 3D SHAPE PERCEPTION
CONVERGENT PROCESSING ACROSS VISUAL AND HAPTIC CIRCUITS FOR 3D SHAPE PERCEPTION
批准号:
10720137
负责人:
CHARLES E CONNOR
金额:
$72.73万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-09-01 至 2025-08-31
关键词:
3-DimensionalAction PotentialsAcuteAnimal ModelAnteriorAreaBehavioralBrainCalibrationCodeCognitiveComplexCuesDarknessDevelopmentDimensionsDiscriminationElementsForce of GravityFunctional Magnetic Resonance ImagingFutureGoalsHumanIndividualInsula of ReilLateralLearningMechanicsMedialMediatingMethodsModalityMonitorMonkeysNeuronsParietalPathway interactionsPatternPerceptionPopulationPositioning AttributeProsthesisResolutionRestShapesSignal TransductionStereognosisStimulusSupervisionSurfaceSystemTactileTestingTimeTouch sensationTrainingVisionVisualarea V1combinatorialexperienceexperimental studyextrastriate visual cortexgrasphapticshigh dimensionalityhuman imaginginferotemporal cortexneuralneural networknovelobject perceptionobject shaperesponsesensory inputsomatosensoryspatiotemporalsuccesstoolvirtualvisual coding
中文摘要
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英文摘要
THEORETICAL FRAMEWORK: Vision and touch share a critical function—perception of 3D object
shape. We use vision and touch both alternatively and simultaneously to recognize, understand, and
interact physically with real world objects, based on detailed apprehension of their 3D shapes and
mechanical functionality. METHODS, INNOVATION, SPECIES: We propose a novel exploration of
visual/haptic circuit interactions underlying 3D object perception: (i) at the spatiotemporal resolution of
individual neurons and action potentials, (ii) across the scope of local neural networks studied with
linear array recording in monkey IT, and (iii) in the behavioral context of active grasp to discriminate
unseen objects. AIM 1 TEST OF HYPOTHESIS: Haptic 3D object discrimination evokes distinct,
shape-specific neural population response patterns in anterior monkey IT. This predicted result would
provide strong evidence that the final stage in the visual object pathway also carries haptic-origin
information sufficient to discriminate 3D shapes through touch, as suggested by human fMRI.
AIM 2 TEST OF HYPOTHESIS: Haptic shape-dependent responses in monkey IT embody a
compositional geometric code for 3D shape, analogous to the IT code for visual 3D shape. We have
previously shown that IT neurons responding to 3D object stimuli encode volumetric shape fragments in
a high-dimensional geometric space. These signals provide the essential elements for ensembles of IT
neurons to represent objects as 3D spatial compositions. We predict analogous compositional coding
for haptic 3D shape, showing that vision and touch converge on the same powerful coding solution.
AIM 3 TEST OF HYPOTHESIS: Individual IT neurons carry identical 3D shape information about
haptic and visual objects. This predicted result of congruent visual and haptic coding by the same
neurons would demonstrate that anterior IT carries a unified, supramodal 3D object representation.
ENABLING A FUTURE BCP R01, LONG-TERM GOAL: Success on any of these aims would justify a
subsequent TargetedBCP R01 application to characterize HOW haptic and visual circuits interact to:
(i) exchange information across circuits connecting multiple processing stages (visual areas V1, V2,
V4, posterior IT, anterior IT; somatosensory areas SI, SII, superior parietal, insula). (ii) dynamically
combine and refine 3D shape information across visual and haptic circuits as congruent, redundant, or
conflicting information accumulates from the two modalities. (iii) interact in new object learning, since
the two modalities almost certainly provide mutual supervision, especially during development, when
vision must calibrate so many indirect cues for 3D shape information directly available to touch.
The LONGTERM GOAL is to understand how visual and haptic cortical circuits refine, reconcile, and
synthesize two very different sensory inputs to produce a unified cognitive appreciation of 3D shape.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Early representation of 3D volumetric shape in visual object processing
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批准号:10412966
-
项目类别:
-
资助金额:$48.43万
-
财政年份:2018
-
负责人:CHARLES E CONNOR
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依托单位:
Shape Learning: Computational Changes in Chronically Studied Neural Populations
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批准号:8858962
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项目类别:
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资助金额:$31.99万
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财政年份:2015
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负责人:CHARLES E CONNOR
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依托单位:
Shape Learning: Computational Changes in Chronically Studied Neural Populations
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批准号:9248364
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项目类别:
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资助金额:$42.46万
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财政年份:2015
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负责人:CHARLES E CONNOR
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依托单位:
Sensory Feedback for upper limb neuroprosthetics
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批准号:8671867
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项目类别:
-
资助金额:$35.44万
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财政年份:2014
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负责人:CHARLES E CONNOR
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依托单位:
Neural Coding of 3D Object and Place Structure in Two Cortical Pathways
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批准号:8612222
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项目类别:
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资助金额:$32.4万
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财政年份:2014
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负责人:CHARLES E CONNOR
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依托单位:
Sensory Feedback for upper limb neuroprosthetics
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批准号:8806618
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项目类别:
-
资助金额:$35.44万
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财政年份:2014
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负责人:CHARLES E CONNOR
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依托单位:
Neural Coding of 3D Object and Place Structure in Two Cortical Pathways
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批准号:8997097
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项目类别:
-
资助金额:$32.4万
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财政年份:2014
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负责人:CHARLES E CONNOR
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依托单位:
Neural coding of complex 3D shape
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批准号:6957043
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项目类别:
-
资助金额:$32.62万
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财政年份:2005
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负责人:CHARLES E CONNOR
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依托单位:
Neural coding of complex 3D shape
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批准号:7118964
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项目类别:
-
资助金额:$31.95万
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财政年份:2005
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负责人:CHARLES E CONNOR
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依托单位:
CRCNS - Higher-Level Neural Specialization/Natural Shape
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批准号:7047434
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项目类别:
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资助金额:$32.36万
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财政年份:2005
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负责人:CHARLES E CONNOR
-
依托单位:
Neural Coding of Complex 3D Shapes
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批准号:8231453
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项目类别:
-
资助金额:$39.13万
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财政年份:2005
-
负责人:CHARLES E CONNOR
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依托单位:
CRCNS - Higher-Level Neural Specialization for Natural Shape Statistics
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批准号:7118965
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项目类别:
-
资助金额:$31.44万
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财政年份:2005
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负责人:CHARLES E CONNOR
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依托单位:
Neural coding of complex 3D shape
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批准号:7270391
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项目类别:
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资助金额:$31.85万
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财政年份:2005
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负责人:CHARLES E CONNOR
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依托单位:
Neural Coding of Complex 3D Shapes
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批准号:8619633
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项目类别:
-
资助金额:$38.33万
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财政年份:2005
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负责人:CHARLES E CONNOR
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依托单位:
Neural Coding of Complex 3D Shapes
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批准号:7917780
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项目类别:
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资助金额:$40.78万
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财政年份:2005
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负责人:CHARLES E CONNOR
-
依托单位:
Neural Coding of Complex 3D Shapes
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批准号:8443838
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项目类别:
-
资助金额:$37.17万
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财政年份:2005
-
负责人:CHARLES E CONNOR
-
依托单位:
CRCNS - Higher-Level Neural Specialization for Natural Shape Statistics
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批准号:7269868
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项目类别:
-
资助金额:$32.28万
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财政年份:2005
-
负责人:CHARLES E CONNOR
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依托单位:
CRCNS - Higher-Level Neural Specialization for Natural Shape Statistics
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批准号:7482252
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项目类别:
-
资助金额:$32.59万
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财政年份:2005
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负责人:CHARLES E CONNOR
-
依托单位:
Neural coding of complex 3D shape
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批准号:7482250
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项目类别:
-
资助金额:$31.21万
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财政年份:2005
-
负责人:CHARLES E CONNOR
-
依托单位:
Neural Coding of Complex 3D Shapes
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批准号:8035318
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项目类别:
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资助金额:$39.14万
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财政年份:2005
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负责人:CHARLES E CONNOR
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依托单位:
海外基金