Midbrain Mechanisms of Sensory-Guided Oculomotor Choice
Midbrain Mechanisms of Sensory-Guided Oculomotor Choice
批准号:
8630464
负责人:
Emilio Salinas
金额:
$46.35万
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:
2014-02-01 至 2018-01-31
关键词:
AccelerationAddressAffectAnimalsAttentionAuditoryBehaviorBehavioralBrainCharacteristicsChoice BehaviorColorCommitComputer SimulationCuesDecision MakingDimensionsDissociationEffectivenessEvaluationEvolutionGoalsImpairmentJudgmentLaboratoriesLightLinkLocationMeasuresMediatingMetricMidbrain structureModelingMonkeysMotionMotivationMotorMotor outputNeurobiologyNeuronsParkinson DiseasePathologyPerceptual Motor PerformancesPerformanceProcessPropertyPsychometricsPsychophysicsReaction TimeReportingResolutionRoleSaccadesScanningSchizophreniaSensorySeriesSignal TransductionSpeedStimulusTask PerformancesTestingTimeTrainingTranslatingVariantVisualWorkbasebehavior changeearly onsetfootimprovedinsightmicrostimulationmillisecondmultisensoryneglectneuromechanismnoveloculomotorprocessing speedpublic health relevancerelating to nervous systemresearch studyresponsesensory mechanismsoundstimulus processingsuccesssuperior colliculus Corpora quadrigeminatraffickingvisual stimulus
中文摘要
项目总结/文摘
英文摘要
Project Summary/Abstract
The goal of this project is to investigate the perceptual and motor contributions of the superior colliculus (SC) to
choice behavior; specifically, we propose to do this in the context of an urgent decision-making task that allows
us to dissociate perceptual and motor performance with great, unprecedented effectiveness. Neuroscientists
have intensely studied choice behavior with numerous tasks in which a perceptual judgement is made and is
followed by a motor report. While highly successful, this approach has limitations. Most notably, various covert
factors such as attention, anticipation, motivation or task difficulty can be traded against each other, creating
ambiguities that cannot be resolved via standard psychophysical metrics, i.e., reaction time and choice accuracy.
Thus, fundamental questions about the timing of choices remain poorly understood. How long does it take to
make a perceptual judgement versus executing a motor action to report it? At what point in time is a subject
committed to a particular option? When the success rate increases, is it because stimuli are processed more effi-
ciently, or faster, or because more time is dedicated to their analysis? The PIs in this project recently developed
an urgent-choice task with which these questions - and the underlying neural mechanisms - can be exam-
ined in a direct, unambiguous way. It produces a new psychophysical measure, the tachometric curve, which
characterizes a subject's perceptual performance over time independently of motor execution. The PIs have also
constructed a computational model that relates neuronal responses to the subjects' behavior with great quanti-
tative detail. In the proposed experiments, neuronal activity in the SC will be recorded from monkeys trained
to perform this novel saccadic-choice task. Two problems will be addressed. First, the participation of the SC in
perceptual processing, which in contrast to the SC's firmly established role in saccade execution, remains less
well characterized. The unique properties of the tachometric curve will be exploited to determine when per-
ceptual information informs the SC activity, and how this correlates with the temporal evolution of the subject's
percept during task performance (Aim 1). In addition, subthreshold microstimulation current will be injected
into the SC using various spatial and temporal configurations to determine how the artificially evoked activity
impacts perceptual and motor performance (Aim 2). The second problem is how choice behavior changes when
it is driven by multisensory stimuli; that is, by the simultaneous presentation of visual and auditory cues. The
SC is known to respond most effectively to such stimulus combinations, but their impact during choice behav-
ior has not been assessed. A multisensory variant of the task will be used to determine whether multisensory
integration alters the speed of the perceptual judgements or of the saccadic motor plans (Aim 3). This work
will provide critical insight about how perceptual information is dynamically translated into motor output, will
characterize how multisensory integration at the neuronal level leads to enhanced behavioral performance, and
will determine how the SC participates in these processes.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
A computational framework for attention during urgent choices
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批准号:9983193
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项目类别:
-
资助金额:$19.38万
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财政年份:2019
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负责人:Emilio Salinas
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依托单位:
CRCNS: investigating perceptual processing speed and its impact on choice behavior
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批准号:10461808
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项目类别:
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资助金额:$39.21万
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财政年份:2015
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负责人:Emilio Salinas
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依托单位:
CRCNS: investigating perceptual processing speed and its impact on choice behavior
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批准号:10226361
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项目类别:
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资助金额:$39.58万
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财政年份:2015
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负责人:Emilio Salinas
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依托单位:
CRCNS: investigating perceptual processing speed and its impact on choice behavior
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批准号:10673133
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项目类别:
-
资助金额:$40.42万
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财政年份:2015
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负责人:Emilio Salinas
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依托单位:
Midbrain Mechanisms of Sensory-Guided Oculomotor Choice
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批准号:9212149
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项目类别:
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资助金额:$42.44万
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财政年份:2014
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负责人:Emilio Salinas
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依托单位:
Midbrain Mechanisms of Sensory-Guided Oculomotor Choice
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批准号:8791903
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项目类别:
-
资助金额:$44.9万
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财政年份:2014
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负责人:Emilio Salinas
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依托单位:
Midbrain Mechanisms of Sensory-Guided Oculomotor Choice
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批准号:8997091
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项目类别:
-
资助金额:$42.44万
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财政年份:2014
-
负责人:Emilio Salinas
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依托单位:
CRCNS:Investigating perceptual processing speed and its impact on choice behavior
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批准号:8496748
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项目类别:
-
资助金额:$28.7万
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财政年份:2010
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负责人:Emilio Salinas
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依托单位:
CRCNS:Investigating perceptual processing speed and its impact on choice behavior
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批准号:8144762
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项目类别:
-
资助金额:$28.48万
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财政年份:2010
-
负责人:Emilio Salinas
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依托单位:
CRCNS:Investigating perceptual processing speed and its impact on choice behavior
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批准号:8289583
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项目类别:
-
资助金额:$30.11万
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财政年份:2010
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负责人:Emilio Salinas
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依托单位:
Dynamic of gain-modulated neural circuits
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批准号:6556558
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项目类别:
-
资助金额:$23.73万
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财政年份:2002
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负责人:Emilio Salinas
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依托单位:
Dynamic of gain-modulated neural circuits
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批准号:6685187
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项目类别:
-
资助金额:$23.7万
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财政年份:2002
-
负责人:Emilio Salinas
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依托单位:
Dynamic of gain-modulated neural circuits
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批准号:6835184
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项目类别:
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资助金额:$23.86万
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财政年份:2002
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负责人:Emilio Salinas
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依托单位:
海外基金