Navalpakkam Vidhya, Itti Laurent
Division of Biology, California Institute of Technology, Pasadena, CA 91125, USA.
Neuron. 2007 Feb 15;53(4):605-17. doi: 10.1016/j.neuron.2007.01.018.
How does a visual search goal modulate the activity of neurons encoding different visual features (e.g., color, direction of motion)? Previous research suggests that goal-driven attention enhances the gain of neurons representing the target's visual features. Here, we present mathematical and behavioral evidence that this strategy is suboptimal and that humans do not deploy it. We formally derive the optimal feature gain modulation theory, which combines information from both the target and distracting clutter to maximize the relative salience of the target. We qualitatively validate the theory against existing electrophysiological and psychophysical literature. A surprising prediction is that it is sometimes optimal to enhance nontarget features. We provide experimental evidence toward this through psychophysics experiments on human subjects, thus suggesting that humans deploy the optimal gain modulation strategy.
视觉搜索目标是如何调节编码不同视觉特征(如颜色、运动方向)的神经元活动的?先前的研究表明,目标驱动的注意力会增强代表目标视觉特征的神经元的增益。在此,我们提供数学和行为证据表明这种策略并非最优,且人类不会采用它。我们正式推导了最优特征增益调制理论,该理论结合了来自目标和干扰杂波的信息,以最大化目标的相对显著性。我们根据现有的电生理学和心理物理学文献对该理论进行了定性验证。一个惊人的预测是,增强非目标特征有时是最优的。我们通过对人类受试者进行的心理物理学实验为此提供了实验证据,从而表明人类采用了最优增益调制策略。