Statistical Learning of Serial Visual Transitions by Neurons in Monkey Inferotemporal Cortex
Statistical Learning of Serial Visual Transitions by Neurons in Monkey Inferotemporal Cortex
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DOI：
10.1523/jneurosci.1215-14.2014
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发表时间：
2014-07-09
影响因子：
5.3
通讯作者：
Olson, Carl R.
中科院分区：
文献类型：
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作者：
Meyer, Travis;Ramachandran, Suchitra;Olson, Carl R.
如果猴子在数周的时间里反复观看固定顺序出现的两幅图像，那么其颞下皮层（ITC）的神经元就会表现出预测抑制。在训练过程中，如果尾图像跟随与之配对的前导图像，则对尾图像的响应要弱于跟随其他前导图像。预测抑制是视觉转换统计学习的一种似是而非的神经机制，已在人类婴儿和成人的行为研究中得到证实。然而，在人体研究中，受试者暴露于连续序列中，其中相同的图像既可以预测又可以预测，并且非相邻项目之间可能存在统计依赖性。本研究的目的是探讨在这种情况下，ITC的预测抑制是否会发展。为了解决这个问题，我们让猴子反复看三组固定顺序呈现的图像。结果表明，不仅可以用成对的图像训练，还可以用较长的序列训练来诱导预测抑制。
If monkeys repeatedly, over the course of weeks, view displays in which two images appear in fixed sequence, then neurons of inferotemporal cortex (ITC) come to exhibit prediction suppression. The response to the trailing image is weaker if it follows the leading image with which it was paired during training than if it follows some other leading image. Prediction suppression is a plausible neural mechanism for statistical learning of visual transitions such as has been demonstrated in behavioral studies of human infants and adults. However, in the human studies, subjects are exposed to continuous sequences in which the same image can be both predicted and predicting and statistical dependency can exist between nonadjacent items. The aim of the present study was to investigate whether prediction suppression in ITC develops under such circumstances. To resolve this issue, we exposed monkeys repeatedly to triplets of images presented in fixed order. The results indicate that prediction suppression can be induced by training not only with pairs of images but also with longer sequences.