Neuronal population coding: from vision to decision
神经元群体编码:从视觉到决策
基本信息
- 批准号:10218182
- 负责人:
- 金额:$ 36.86万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-08-01 至 2022-04-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectAfferent NeuronsAnimalsAreaAttention deficit hyperactivity disorderBehaviorBehavioralBiological ModelsBrainCodeCognitiveCommunicationData AnalysesDecision MakingDetectionDiagnosisDimensionsDiscriminationDiseaseEye MovementsFrequenciesGoalsGroupingHumanIndividualLocationMacaca mulattaMeasuresMediatingMental DepressionModelingMotionMotorMovementNeuronsNoisePerceptionPerformancePharmacotherapyPopulationPositioning AttributePrimatesPrincipal Component AnalysisPrivatizationProcessPropertyRestRoleSaccadesSchizophreniaSensorySignal TransductionStimulusSumTechniquesTestingThinkingTrainingVisionVisualVisual CortexVisual FieldsVisual MotionVisual system structureWorkarea MTbasebehavioral outcomeexperimental analysisexperimental studyflexibilitynervous system disordernoveloculomotorreceptive fieldrelating to nervous systemresponsesensory cortexsensory stimulussuperior colliculus Corpora quadrigeminavisual motorvisual stimulus
项目摘要
Project summary
A very large number of studies have investigated the relationship between the activity of sensory neurons
and behavior. The model that implicitly or explicitly guides most of that work is that single neurons are the unit
of computation. The underlying hypothesis is that different groupings of neurons are responsible for each
sensory, cognitive or premotor role in decision-making. However, each neuron's responses encode a unique
combination of sensory and cognitive signals as well as noise, and have distinct interactions with the rest of the
network. These observations, combined with the staggering flexibility of mappings from sensory stimuli to
actions suggest that different weighted sums of the activity of the entire population may be more informative
about sensory and behavioral variables than different groupings of neurons.
This idea represents a new way of thinking about neural coding. It has important implications for the
neuronal mechanisms underlying many behavioral processes, including perceptual decision-making in the
primate visual system, which is our model system. This paradigm can also explain longstanding paradoxes
about the aspects of the neural code that limit performance on perceptual tasks.
The goal of this proposal is to identify the aspects of population activity that guide and gate perceptual
decisions. We hypothesize that the sensory information that is used to flexibly guide and gate decisions is
shared between populations of visual and premotor neurons. The two cornerstones of our approach are 1) to
record simultaneously from groups of neurons in the middle temporal area (MT), which encodes visual motion,
and in the superior colliculus (SC), whose responses are visual, oculomotor, and everything in between and 2)
to use novel measures of neuronal activity that incorporate the activity of the whole population. In Aim 1, we
will compare the extent to which individual perceptual decisions can be predicted from the dominant
fluctuations in population responses within MT or the SC or activity that is correlated on a trial by trial basis
between the two areas. In Aim 2, we will determine whether task-irrelevant stimulus information, which can
cause large changes in the activity of sensory neurons, is filtered out by interactions between MT and the SC.
In Aim 3, we will conduct a strong test of the hypothesis that visuo-motor interactions guide perceptual
decision-making by measuring the relationship between choices and interactions between MT and SC neurons
with receptive fields in opposite hemifields.
Together, these studies will address long-standing questions about the extent to which perception is limited
by the fidelity with which stimulus information is encoded in sensory cortex or by the information that is flexibly
communicated to downstream areas in a task-dependent way. More generally, this work will establish a set of
experimental and data analysis techniques for revealing the relationship between neuronal populations and
behavior.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Marlene Rochelle Cohen其他文献
Marlene Rochelle Cohen的其他文献
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{{ truncateString('Marlene Rochelle Cohen', 18)}}的其他基金
CRCNS: Heterogeneous effects of cognition on perception: unique leverage on circuit mechanisms
CRCNS:认知对感知的异质效应:对电路机制的独特影响
- 批准号:
10608553 - 财政年份:2022
- 资助金额:
$ 36.86万 - 项目类别:
CRCNS: Heterogeneous effects of cognition on perception: unique leverage on circuit mechanisms
CRCNS:认知对感知的异质效应:对电路机制的独特影响
- 批准号:
10707498 - 财政年份:2022
- 资助金额:
$ 36.86万 - 项目类别:
Topological bridges between circuits, models, and behavior
电路、模型和行为之间的拓扑桥梁
- 批准号:
10208403 - 财政年份:2021
- 资助金额:
$ 36.86万 - 项目类别:
Using Neuronal Populations to Probe Perceptual Decisions
使用神经元群体探索感知决策
- 批准号:
8578677 - 财政年份:2013
- 资助金额:
$ 36.86万 - 项目类别:
Using Neuronal Populations to Probe Perceptual Decisions
使用神经元群体探索感知决策
- 批准号:
8706153 - 财政年份:2013
- 资助金额:
$ 36.86万 - 项目类别:
Neuronal population coding: from vision to decision
神经元群体编码:从视觉到决策
- 批准号:
9523459 - 财政年份:2013
- 资助金额:
$ 36.86万 - 项目类别:
Using Neuronal Populations to Probe Perceptual Decisions
使用神经元群体探索感知决策
- 批准号:
9320826 - 财政年份:2013
- 资助金额:
$ 36.86万 - 项目类别:
Neuronal Population Coding: From Vision to Decision
神经元群体编码:从视觉到决策
- 批准号:
10663668 - 财政年份:2013
- 资助金额:
$ 36.86万 - 项目类别:
Using Neuronal Populations to Probe Perceptual Decisions
使用神经元群体探索感知决策
- 批准号:
9109638 - 财政年份:2013
- 资助金额:
$ 36.86万 - 项目类别:
Using Attention to Understand Cortical Population Codes
利用注意力来理解皮质群体代码
- 批准号:
8328684 - 财政年份:2010
- 资助金额:
$ 36.86万 - 项目类别:
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