Wyss Reto, König Peter, Verschure Paul F M J
Institute of Neuroinformatics, University/ETH Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland.
Proc Biol Sci. 2004 Feb 7;271 Suppl 3(Suppl 3):S50-2. doi: 10.1098/rsbl.2003.0098.
The control of behaviour is usually understood in terms of three distinct components: sensory processing, decision making and movement control. Recently, this view has been questioned on the basis of physiological and behavioural data, blurring the distinction between these three stages. This raises the question to what extent the motor system itself can contribute to the interpretation of behavioural situations. To investigate this question we use a neural model of sensory motor integration applied to a behaving mobile robot performing a navigation task. We show that the population response of the motor system provides a substrate for the categorization of behavioural situations. This categorization allows for the assessment of the complexity of a behavioural situation and regulates whether higher-level decision making is required to resolve behavioural conflicts. Our model lends credence to an emerging reconceptualization of behavioural control where the motor system can be considered as part of a high-level perceptual system.
感觉处理、决策和运动控制。最近,基于生理和行为数据,这种观点受到了质疑,模糊了这三个阶段之间的区别。这就提出了一个问题,即运动系统本身在多大程度上能够有助于对行为情境的解释。为了研究这个问题,我们使用了一个感觉运动整合的神经模型,将其应用于执行导航任务的行为移动机器人。我们表明,运动系统的群体反应为行为情境的分类提供了一个基础。这种分类允许对行为情境的复杂性进行评估,并调节是否需要更高层次的决策来解决行为冲突。我们的模型为行为控制的一种新的概念化提供了支持,在这种概念化中,运动系统可以被视为高级感知系统的一部分。