School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, CO34SQ, UK. Electronic address: http://www.vishwanathanmohan.com.
Dept. of Psychology, University of East Anglia, UK.
Phys Life Rev. 2019 Oct;30:89-111. doi: 10.1016/j.plrev.2018.04.005. Epub 2018 Apr 27.
Emerging trends in neurosciences are providing converging evidence that cortical networks in predominantly motor areas are activated in several contexts related to 'action' that do not cause any overt movement. Indeed for any complex body, human or embodied robot inhabiting unstructured environments, the dual processes of shaping motor output during action execution and providing the self with information related to feasibility, consequence and understanding of potential actions (of oneself/others) must seamlessly alternate during goal-oriented behaviors, social interactions. While prominent approaches like Optimal Control, Active Inference converge on the role of forward models, they diverge on the underlying computational basis. In this context, revisiting older ideas from motor control like the Equilibrium Point Hypothesis and synergy formation, this article offers an alternative perspective emphasizing the functional role of a 'plastic, configurable' internal representation of the body (body-schema) as a critical link enabling the seamless continuum between motor control and imagery. With the central proposition that both "real and imagined" actions are consequences of an internal simulation process achieved though passive goal-oriented animation of the body schema, the computational/neural basis of muscleless motor synergies (and ensuing simulated actions without movements) is explored. The rationale behind this perspective is articulated in the context of several interdisciplinary studies in motor neurosciences (for example, intracranial depth recordings from the parietal cortex, FMRI studies highlighting a shared cortical basis for action 'execution, imagination and understanding'), animal cognition (in particular, tool-use and neuro-rehabilitation experiments, revealing how coordinated tools are incorporated as an extension to the body schema) and pertinent challenges towards building cognitive robots that can seamlessly "act, interact, anticipate and understand" in unstructured natural living spaces.
神经科学的新兴趋势提供了趋同的证据,表明主要与“行动”相关的皮层网络在不引起任何明显运动的几种情况下被激活。事实上,对于任何复杂的身体,无论是人类还是处于非结构化环境中的机器人,在目标导向的行为和社交互动中,塑造运动输出的双重过程和为自身提供与可行性、后果和对潜在动作(自身/他人)的理解相关的信息必须无缝交替。虽然像最优控制、主动推理这样的主流方法都集中在正向模型的作用上,但它们在底层计算基础上存在分歧。在这种情况下,重新审视来自运动控制的旧观点,如平衡点假说和协同形成,本文提供了一种替代观点,强调了身体(体觉图)的“可塑、可配置”内部表示作为一种关键联系的功能作用,使运动控制和想象之间的无缝连续。本文的中心论点是,“真实和想象”的动作都是通过被动地以目标为导向地对体觉图进行动画处理而实现的内部模拟过程的结果,探讨了无肌肉运动协同作用的计算/神经基础(以及随之而来的没有运动的模拟动作)。这种观点的基本原理是在运动神经科学的几个跨学科研究(例如,来自顶叶皮层的颅内深度记录,强调动作“执行、想象和理解”的共同皮层基础的 fMRI 研究)、动物认知(特别是,工具使用和神经康复实验,揭示了协调的工具如何被纳入体觉图的扩展)和构建能够在非结构化自然生活空间中无缝“行动、互动、预测和理解”的认知机器人的相关挑战的背景下阐明的。