A computational approach to detect a mete-learning of the cortical basis function during a motor adaptation study

A process for one to adapt to a new environment has been considered as a combination of multiple update systems where each of them has a different time constant. We define the fast system as the adaptive system to minimize error and the slow system as the meta-adaptation that modulates the meta-parameters that might influence the property of the adaptation. Specifically, we considered that a shape of the basis function of the adaptive system that influences abilities of motor adaptation is essential meta-parameter. Here, we hypothesised that the human brain modulated this meta-parameter during motor adaptation depending on the environment and discussed a method to detect this adaptability of the basis function.