Theories that brains predict the pattern of expected neural activity aren't new, (eg this paper cites work towards the Free Energy Principle, but not Embodied Predictive Interoception Coding works). I have 0 neuroscience training so I doubt I'd be able to reliably answer my question just by reading this paper, but does anyone know how specifically their Prospective Configuration model differs, or expands, upon the previous work? Is it a better model of how brains actually handle credit assign than the aforementioned models?
The FEP is more about what objective function the brain (really the isocortex) ought to optimize. EPIC is a somewhat related hypothesis about how viscerosensory data is translated into percepts.
Prospective Configuration is an actual algorithm that, to my understanding, attempts to reproduce input patterns but can also engage in supervised learning.
I'm less clear on Prospective Configuration than the other two, which I've worked with directly.