  In this article, we present a cognitive architecture that is built from
powerful yet simple neural models. Specifically, we describe an implementation
of the common model of cognition grounded in neural generative coding and
holographic associative memory. The proposed system creates the groundwork for
developing agents that learn continually from diverse tasks as well as model
human performance at larger scales than what is possible with existant
cognitive architectures.
