Attempts to implement biologically plausible combined learners

Abstract

Brain-inspired cognitive architecture is one of the options for the realization of AGI. While backpropagation has been widely used in artificial neural networks, it is not considered to be used in the brain, especially across brain regions. This paper reports the implementation of the following cognitive architectures consisting of multiple learners without backpropagation between modules: 1) a minimal architecture consisting of multiple learners without inter-module backpropagation; 2) a model of cortical, basal ganglia, and thalamic loops; 3) a model of a working memory with attention mechanism.