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猫视觉系统的表现:行为学与神经生理学分析

Performance in the cat's visual system: a behavioural and neurophysiological analysis.

作者信息

Hoffmann K P, Von Seelen W

出版信息

Behav Brain Res. 1984 May;12(2):101-20. doi: 10.1016/0166-4328(84)90034-2.

Abstract

Behavioural research, neurophysiological experiments and computer simulations are used in an attempt to analyze pattern recognition in the cat's visual system. The methods were chosen in such a way that the measurable performance data resulting from behavioural and neurophysiological experiments can be combined simply. It is shown that, with minor modifications, the methods can be adapted to every estimation and detection problem like pattern discrimination, movement detection and to the assessment of lesion effects, so that they are widely applicable. The system analysis permits the correct prediction of behavioural experiments and an approximate assignment of functions to the areas 17, 18 and 19 for the task set.

摘要

行为研究、神经生理学实验和计算机模拟被用于分析猫视觉系统中的模式识别。选择这些方法的方式是,行为和神经生理学实验产生的可测量性能数据可以简单地结合起来。结果表明,只需稍作修改,这些方法就可以适用于每一个估计和检测问题,如模式辨别、运动检测以及损伤效应评估,因此它们具有广泛的适用性。系统分析能够正确预测行为实验,并为所设定的任务大致确定17区、18区和19区的功能。

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