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A Common Cortical Circuit Mechanism for Perceptual CategoricalDiscrimination and Veridical Judgment

机译:感知类别的常见皮质电路机制歧视与判断

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摘要

Perception involves two types of decisions about the sensory world: identification of stimulus features as analog quantities, or discrimination of the same stimulus features among a set of discrete alternatives. Veridical judgment and categorical discrimination have traditionally been conceptualized as two distinct computational problems. Here, we found that these two types of decision making can be subserved by a shared cortical circuit mechanism. We used a continuous recurrent network model to simulate two monkey experiments in which subjects were required to make either a two-alternative forced choice or a veridical judgment about the direction of random-dot motion. The model network is endowed with a continuum of bell-shaped population activity patterns, each representing a possible motion direction. Slow recurrent excitation underlies accumulation of sensory evidence, and its interplay with strong recurrent inhibition leads to decision behaviors. The model reproduced the monkey's performance as well as single-neuron activity in the categorical discrimination task. Furthermore, we examined how direction identification is determined by a combination of sensory stimulation and microstimulation. Using a population-vector measure, we found that directionjudgments instantiate winner-take-all (with the population vector coincidingwith either the coherent motion direction or the electrically elicited motiondirection) when two stimuli are far apart, or vector averaging (with thepopulation vector falling between the two directions) when two stimuli are closeto each other. Interestingly, for a broad range of intermediate angulardistances between the two stimuli, the network displays a mixed strategy in thesense that direction estimates are stochastically produced by winner-take-all onsome trials and by vector averaging on the other trials, a model prediction thatis experimentally testable. This work thus lends support to a commonneurodynamic framework for both veridical judgment and categoricaldiscrimination in perceptual decision making.
机译:感知涉及有关感官世界的两种类型的决策:将刺激特征识别为模拟量,或在一组离散的替代方案中区分相同的刺激特征。传统上,垂直判断和类别区分被概念化为两个不同的计算问题。在这里,我们发现这两种类型的决策可以通过共享的皮层电路机制来维护。我们使用连续递归网络模型来模拟两个猴子实验,在实验中,受试者需要对随机点运动的方向做出两种选择的强制选择或纵向判断。模型网络具有连续的钟形人口活动模式,每个活动模式代表一个可能的运动方向。缓慢的反复兴奋是感觉证据积累的基础,并且其与强烈的反复抑制的相互作用导致决策行为。该模型再现了猴子在​​分类歧视任务中的表现以及单神经元活动。此外,我们研究了如何通过感觉刺激和微刺激的组合来确定方向识别。使用总体向量测度,我们发现了这个方向判断实例化赢家通吃(与人口矢量一致)具有连贯的运动方向或电动运动方向)时两个刺激相距很远,或矢量平均(当两个刺激接近时的人口矢量落在两个方向之间对彼此。有趣的是,对于大范围的中间角两种刺激之间的距离,网络在感觉方向估计是由赢家通吃随机产生的一些试验,并通过对其他试验进行矢量平均,可以得出模型预测经过实验检验。因此,这项工作为一个共同的国家提供了支持。神经动力框架既可用于实证判断,也可用于类别判断感知决策中的歧视。

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