PT  - JOURNAL ARTICLE
AU  - Noah Zarr
AU  - Joshua W. Brown
TI  - Foundations of human problem solving
AID  - 10.1101/779322
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 779322
4099  - http://biorxiv.org/content/early/2019/09/23/779322.short
4100  - http://biorxiv.org/content/early/2019/09/23/779322.full
AB  - Despite great strides in both machine learning and neuroscience, we do not know how the human brain solves problems in the general sense. We approach this question by drawing on the framework of engineering control theory. We demonstrate a computational neural model with only localist learning laws that is able to find solutions to arbitrary problems. Using a combination of computational neural modeling, human fMRI, and representational similarity analysis, we show here that the roles of a number of brain regions can be reinterpreted as interacting mechanisms of a control theoretic system. The results suggest a new set of functional perspectives on the orbitofrontal cortex, hippocampus, basal ganglia, anterior temporal lobe, lateral prefrontal cortex, and visual cortex, as well as a new path toward artificial general intelligence.