Self-configuring feedback loops for sensorimotor control

1 code implementation • 16 Sep 2021 • Sergio Verduzco-Flores, Erik De Schutter

Moreover, independently of the learning mechanism, properly configured feedback control has many emergent properties: neural populations in motor cortex show directional tuning and oscillatory dynamics, the spinal cord creates convergent force fields that add linearly, and movements are ataxic (as in a motor system without a cerebellum).

A differential Hebbian framework for biologically-plausible motor control

no code implementations • 24 Jun 2020 • Sergio Verduzco-Flores, William Dorrell, Erik DeSchutter

We next show that in a more general case, neural reinforcement learning can be coupled with a feedback controller to reduce errors that arise non-monotonically from the control signal.

reinforcement-learning Reinforcement Learning (RL)