Sensory Feedback for upper limb neuroprosthetics
Sensory Feedback for upper limb neuroprosthetics
批准号:
8671867
负责人:
CHARLES E CONNOR
金额:
$35.44万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-02-15 至 2019-01-31
关键词:
AddressAfghanistanAnimal BehaviorAnimalsAreaBackBehaviorBehavioralBiomimeticsCellsChargeChronicCodeComplexCuesCutaneousDevelopmentDigit structureDiscriminationElectric StimulationElectrodesEngineeringFeedbackFingersFrequenciesGoalsHandHumanImplantIndividualIraqLifeLimb structureMacaca mulattaMechanicsMethodsMicroelectrodesModalityMotionMovementNeuronsNeurosciencesOrganPatternPerceptionPeripheralPhysiologic pulsePlayPopulationProcessPropertyProsthesisPsychophysicsReportingResidual stateRoleSamplingScanningSensorySignal TransductionSoldierSomatosensory CortexSpecificityStimulusSystemTactileTouch sensationTrainingUpper ExtremityVisionVisual CortexWararmflexibilitymotor controlneural circuitnonhuman primatepublic health relevancerelating to nervous systemresearch studyresponsesensory cortexsensory discriminationsensory feedbacksomatosensorytwo-dimensionalvoltage
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): In this application we investigate how to provide realistic sensory feedback to subjects with upper limb prosthetics. Thousands of soldiers are returning from the war in need of prosthetic limbs that not only can move but also allows them to seamlessly interact with objects. The optimal approach for providing feedback is to tap directly into the neural circuits that underlie tactile perception. Recent studies have shown that areas 3b, 1 and 2 of SI cortex play different roles in processing cutaneous information, with neurons in area 3b responsible for coding orientation, area 1 for motion and area 2 for curvature. In this application we will investigate how to provide sensory feedback by directly stimulation neurons in these cortical areas in animals trained to perform tactile match-to-sample discrimination tasks. There are two specific aims. The first is to investigate how to provide sensory feedback of intensity, orientation, motion and curvature on a single finger pad. After training non-human primates (macaca mulatta) to perform the feature discrimination task, a chronic recording array will be implanted into somatosensory cortex. The goal of the recordings is to simultaneously record from many neurons that are tuned to the feature being studied. The animal will then perform the task under three conditions. 1) Matching a mechanical stimulus with a mechanical stimulus (this is the condition that the animal was trained to perform) 2) Matching a mechanical stimulus with a mechanical and electrical stimulus and 3) Matching a mechanical stimulus with an electrical stimulus. The electrical stimuli will be given to populations of feature tuned cells
with the aim of changing the population response of the neurons. This stimulus will be modified in several ways 1) change in current intensity, 2) change in frequency of pulses 3) change in statistical properties of the firing (i.e., biomimetic, uniform, Poisson) and change the degree of correlated firing between cells being modulated. We will develop method to systematically alter the animal's behavior and to determine whether we can produce a population response that mimics the response of the tactile stimulation. The second aim is to train animals to perform a tactile one-back task. This task will determine how to stimulate cortex so that the stimuli can be
delivered with minimal spatial and temporal smearing of the electrical signals across fingers. The results from the two aims will provide and understanding of how to provide sensory feedback of complex features to the hand.
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科研奖励(0)
会议论文
CONVERGENT PROCESSING ACROSS VISUAL AND HAPTIC CIRCUITS FOR 3D SHAPE PERCEPTION
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批准号:10720137
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项目类别:
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资助金额:$72.73万
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财政年份:2023
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Early representation of 3D volumetric shape in visual object processing
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Shape Learning: Computational Changes in Chronically Studied Neural Populations
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资助金额:$31.99万
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Shape Learning: Computational Changes in Chronically Studied Neural Populations
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资助金额:$42.46万
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财政年份:2015
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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:
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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:
Neural coding of complex 3D shape
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批准号:6957043
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项目类别:
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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:
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
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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 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 Shapes
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批准号:8619633
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项目类别:
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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:8231453
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项目类别:
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资助金额:$39.13万
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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: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
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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:
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资助金额:$37.17万
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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 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
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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
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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
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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: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