Neural mechanisms of speed-accuracy tradeoff.
Neural mechanisms of speed-accuracy tradeoff.
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DOI：
10.1016/j.neuron.2012.08.030
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发表时间：
2012-11-08
期刊：
影响因子：
16.2
通讯作者：
Schall JD
中科院分区：
文献类型：
--
作者：
Heitz RP;Schall JD
智能代理平衡响应速度和决策准确性。随机累加器模型通常通过响应阈值的战略调整来解释这种速度-精度权衡。几个实验室确定特定的神经元在前额叶和顶叶皮层与这种积累过程，但没有神经生理学相关的速度准确性权衡已被描述。我们训练猕猴在视觉搜索过程中以速度换取线索的准确性，并记录了额叶眼区神经元的活动。任何模型都无法预测，我们发现速度-准确性权衡是通过几个不同的调整来实现的。视觉反应神经元调制基线放电率，感觉增益和感知处理的持续时间。运动神经元触发的反应与模型预测的方向相反。因此，目前的随机累加器模型提供了一个不完整的描述的神经过程完成速度精度的权衡。神经机制的多样性与蓄能器框架协调一致，通过一个集成的蓄能器模型约束的电机系统的要求。
Intelligent agents balance speed of responding with accuracy of deciding. Stochastic accumulator models commonly explain this speed-accuracy tradeoff by strategic adjustment of response threshold. Several laboratories identify specific neurons in prefrontal and parietal cortex with this accumulation process, yet no neurophysiological correlates of speed-accuracy tradeoff have been described. We trained macaque monkeys to trade speed for accuracy on cue during visual search and recorded the activity of neurons in the frontal eye field. Unpredicted by any model, we discovered that speed-accuracy tradeoff is accomplished through several distinct adjustments. Visually responsive neurons modulated baseline firing rate, sensory gain, and the duration of perceptual processing. Movement neurons triggered responses with activity modulated in a direction opposite of model predictions. Thus, current stochastic accumulator models provide an incomplete description of the neural processes accomplishing speed-accuracy tradeoffs. The diversity of neural mechanisms was reconciled with the accumulator framework through an integrated accumulator model constrained by requirements of the motor system.
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影响因子：
2.5
作者：
HARTING, JK
通讯作者：
HARTING, JK
影响因子：
--
作者：
FITTS, PM
通讯作者：
FITTS, PM
影响因子：
5.3
作者：
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通讯作者：
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DOI：
10.1073/pnas.0805903105
发表时间：
2008-11-11
影响因子：
11.1
作者：
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通讯作者：
Wagenmaker, Eric-Jan
影响因子：
3.7
作者：
Ding, Long;Gold, Joshua I.
通讯作者：
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