A role for neural integrators in perceptual decision making
A role for neural integrators in perceptual decision making
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DOI：
10.1093/cercor/bhg097
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发表时间：
2003-11-01
期刊：
影响因子：
3.7
通讯作者：
Shadlen, MN
中科院分区：
文献类型：
--
作者：
Mazurek, ME;Roitman, JD;Shadlen, MN
基于不确定信息的决策可能会受益于随着时间的推移积累的信息。我们问这样的积累过程是否可能决定在一个随机点运动图的运动方向。为了解决这个问题，我们开发了一个计算模型的决策过程中使用的神经元，其尖峰活动模仿记录在纹外视皮层（MT或V5区）和感觉运动关联区的顶叶（LIP区）的神经元合奏。该模型实例化的假设，感觉运动关联区的神经元计算的时间积分的感觉信号从视觉皮层，解释为证据支持或反对一个命题，并作出决定时，综合证据达到阈值。该模型解释了从猴子身上获得的各种行为和生理测量结果。
Decisions based on uncertain information may benefit from an accumulation of information over time. We asked whether such an accumulation process may underlie decisions about the direction of motion in a random dot kinetogram. To address this question we developed a computational model of the decision process using ensembles of neurons whose spiking activity mimics neurons recorded in the extrastriate visual cortex (area MT or V5) and a sensorimotor association area of the parietal lobe (area LIP). The model instantiates the hypothesis that neurons in sensorimotor association areas compute the time integral of sensory signals from the visual cortex, construed as evidence for or against a proposition, and that the decision is made when the integrated evidence reaches a threshold. The model explains a variety of behavioral and physiological measurements obtained from monkeys.