Predictions in the light of your own action repertoire as a general computational principle

Peter Koenig; Niklas Wilming; Kai Kaspar; Saskia K. Nagel; Selim Ona

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Predictions in the light of your own action repertoire as a general computational principle

机译：根据您自己的动作指令集作为一般计算原理进行预测

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We argue that brains generate predictions only within the constraints of the action repertoire. This makes the computational complexity tractable and fosters a step-by-step parallel development of sensory and motor systems. Hence, it is more of a benefit than a literal constraint and may serve as a universal normative principle to understand sensorimotor coupling and interactions with the world.

机译：我们认为，大脑仅在动作指令集的约束范围内才能生成预测。这使得计算复杂性易于处理，并促进了传感和运动系统的逐步并行开发。因此，它比文字约束更具益处，并且可以用作理解感觉运动耦合和与世界互动的通用规范原则。

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《Behavioral and Brain Sciences》 |2013年第3期|219-220|共2页
作者
Peter Koenig; Niklas Wilming; Kai Kaspar; Saskia K. Nagel; Selim Ona;
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Institute of Cognitive Science, University Osnabruck, 49076 Osnabruck, Germany ,Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany;

Institute of Cognitive Science, University Osnabruck, 49076 Osnabruck, Germany;

Institute of Cognitive Science, University Osnabruck, 49076 Osnabruck, Germany;

Institute of Cognitive Science, University Osnabruck, 49076 Osnabruck, Germany;

Department of Systems Neuroscience, University Medical Center Hamburg- Eppendorf, 20251 Hamburg, Germany;

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Predictions in the light of your own action repertoire as a general computational principle

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