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基于奖赏值的增益控制:顶叶皮层的分歧归一化。

Reward value-based gain control: divisive normalization in parietal cortex.

机构信息

Center for Neural Science and Center for Neuroeconomics, New York University, New York, New York 10003, USA.

出版信息

J Neurosci. 2011 Jul 20;31(29):10627-39. doi: 10.1523/JNEUROSCI.1237-11.2011.

Abstract

The representation of value is a critical component of decision making. Rational choice theory assumes that options are assigned absolute values, independent of the value or existence of other alternatives. However, context-dependent choice behavior in both animals and humans violates this assumption, suggesting that biological decision processes rely on comparative evaluation. Here we show that neurons in the monkey lateral intraparietal cortex encode a relative form of saccadic value, explicitly dependent on the values of the other available alternatives. Analogous to extra-classical receptive field effects in visual cortex, this relative representation incorporates target values outside the response field and is observed in both stimulus-driven activity and baseline firing rates. This context-dependent modulation is precisely described by divisive normalization, indicating that this standard form of sensory gain control may be a general mechanism of cortical computation. Such normalization in decision circuits effectively implements an adaptive gain control for value coding and provides a possible mechanistic basis for behavioral context-dependent violations of rationality.

摘要

价值的表示是决策的一个关键组成部分。理性选择理论假设选项被赋予绝对价值,独立于其他替代方案的价值或存在。然而,动物和人类的情境依赖选择行为违反了这一假设,表明生物决策过程依赖于比较评估。在这里,我们表明猴子外侧顶内沟中的神经元编码了一种相对形式的扫视价值,这种价值明确依赖于其他可用选项的价值。类似于视觉皮层中的超类经典感受野效应,这种相对表示形式包含了响应场之外的目标值,并且在刺激驱动的活动和基线放电率中都可以观察到。这种情境依赖的调制被除法归一化精确地描述,表明这种标准形式的感觉增益控制可能是皮层计算的一般机制。决策回路中的这种归一化有效地实现了价值编码的自适应增益控制,并为行为情境下违反理性的行为提供了一个可能的机制基础。

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