Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
Department of Information and Communication Technologies, Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Proc Biol Sci. 2017 Dec 20;284(1869). doi: 10.1098/rspb.2017.1780.
Humans display anticipatory motor responses to minimize the adverse effects of predictable perturbations. A widely accepted explanation for this behaviour relies on the notion of an inverse model that, learning from motor errors, anticipates corrective responses. Here, we propose and validate the alternative hypothesis that anticipatory control can be realized through a cascade of purely sensory predictions that drive the motor system, reflecting the causal sequence of the perceptual events preceding the error. We compare both hypotheses in a simulated anticipatory postural adjustment task. We observe that adaptation in the sensory domain, but not in the motor one, supports the robust and generalizable anticipatory control characteristic of biological systems. Our proposal unites the neurobiology of the cerebellum with the theory of active inference and provides a concrete implementation of its core tenets with great relevance both to our understanding of biological control systems and, possibly, to their emulation in complex artefacts.
人类会做出预期性的运动反应,以将可预测的干扰的负面影响最小化。一种被广泛接受的解释这种行为的理论,依赖于一种逆模型的概念,该模型通过从运动错误中学习,来预测纠正性的反应。在这里,我们提出并验证了一个替代性的假说,即预期性控制可以通过纯粹的感觉预测的级联来实现,这些预测驱动着运动系统,反映了在错误发生之前的感知事件的因果顺序。我们在一个模拟的预期性姿势调整任务中比较了这两个假说。我们观察到,在感觉域中的适应,而不是在运动域中的适应,支持了生物系统中稳健且可推广的预期性控制特征。我们的提议将小脑的神经生物学与主动推理理论结合起来,并为其核心原则提供了一个具体的实现,这对我们理解生物控制系统具有重要意义,并且可能对在复杂的人工制品中模拟这些系统具有重要意义。