System-Level Capabilities from Reciprocal Biological–Artificial Coupling

Determine whether reciprocal co-adaptation between a living neural substrate and an adaptive artificial-intelligence system can produce system-level capabilities unavailable to either substrate alone.

Background

The Biological-Hybrid Intelligence framework requires biological and artificial substrates to influence and adapt to one another within the same closed loop. Neural activity must modify a learning-relevant state of the artificial-intelligence component, while artificial stimulation or embodied feedback must alter the biological substrate. The paper identifies the emergence of capabilities that neither substrate could achieve independently as an unresolved hypothesis requiring empirical testing.