Summary: Researchers resolved a long-standing debate regarding “adaptive efficiency”, how the human brain allocates finite neural energy when processing predictable versus unexpected events. The study ...

Abstract: In this work, a novel event-triggered iterative learning model predictive control (ILMPC) framework is developed for a class of linear systems subject to input saturation and initial shift.

Abstract: Recently, recurrent neural networks (RNNs) and the free energy principle (FEP) have been attracting much attention. FEP includes the so-called predictive coding (PC), in which the RNN input ...