论文标题
实施例可实现非预测的方式应对自我引起的感觉刺激
Embodiment Enables Non-Predictive Ways of Coping with Self-Caused Sensory Stimuli
论文作者
论文摘要
生活系统处理感官数据以促进适应性行为。可以通过内部驱动的活动或纯粹的外部（环境）来源刺激给定的传感器。显然，这些输入的处理方式不同 - 您是否曾经尝试过挠痒痒？该差异的规范解释是，当大脑发送导致运动活动的信号时，它使用该信号的副本来预测所得运动活动的感觉后果。然后从实际的感觉输入中减去预测的感觉输入，从而导致刺激的衰减。为了批判性地评估这个想法，并调查非预测的解决方案何时可能可行，我们实施了具有自我造成的感觉运动动力学的简单体现系统的计算模型，并分析控制器如何成功完成此模型中的任务。我们发现，在这些简单的系统中，调节行为以控制自我引起的感觉输入的解决方案往往会出现，而不是预测和过滤自我引起的输入的解决方案。在某些情况下，解决方案取决于这些自我引起的输入的存在。
Living systems process sensory data to facilitate adaptive behaviour. A given sensor can be stimulated as the result of internally driven activity, or by purely external (environmental) sources. It is clear that these inputs are processed differently - have you ever tried tickling yourself? The canonical explanation of this difference is that when the brain sends a signal that would result in motor activity, it uses a copy of that signal to predict the sensory consequences of the resulting motor activity. The predicted sensory input is then subtracted from the actual sensory input, resulting in attenuation of the stimuli. To critically evaluate this idea, and investigate when non-predictive solutions may be viable, we implement a computational model of a simple embodied system with self-caused sensorimotor dynamics, and analyse how controllers successfully accomplish tasks in this model. We find that in these simple systems, solutions that regulate behaviour to control self-caused sensory inputs tend to emerge, rather than solutions which predict and filter out self-caused inputs. In some cases, solutions depend on the presence of these self-caused inputs.
