Effects of biased feedback on learning and deciding in a vernier discrimination task

被引：64

作者：

Herzog, MH ^{[1
]}

Fahle, M ^{[1
]}

机构：

[1] Univ Bremen, Ctr Cognit Sci, Bremen, Germany

来源：

VISION RESEARCH | 1999年 / 39卷 / 25期

关键词：

hyperacuity; decision theory; neural networks; perceptual learning; internal criteria;

D O I：

10.1016/S0042-6989(99)00138-8

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

We investigate the influence of biased feedback on decision and learning processes in a vernier discrimination task. Subjects adjust their decision criteria and hence their responses according to biased external feedback. However, they do not use learning processes to encode incorrectly classified stimuli. As soon as correct feedback is restored observers regain their original performance indicating an involvement of internal criteria. If the external feedback is switched off instead of being corrected, the rebound is less vigorous. The findings contradict predictions of supervised neural network models. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：4232 / 4243

页数：12

共 19 条

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