Current brain computer interface (BCI) research targeting cognitive augmentation implicitly assumes a write-tobrain paradigm: encoding skills or memories in an external format and injecting them into neural tissue. This paper proposes an alternative architecture experience delivery via endogenous plasticityin which the BCI constructs a high- delity sensorimotor experience across visual and motor cortices while the brain’s native Hebbian plasticity and sleep-dependent consolidation mechanisms handle all learning and storage. The system employs a modular hot-swap cartridge interface and introduces brainstem-level signal gating, leveraging the endogenous REM atonia circuit (sublaterodorsal nucleus to ventromedial medulla pathway) as an engineering primitive for motor isolation during training sessions. This reframe reduces the core engineering challenge from reverse-engineering neural encoding formats to delivering su ciently convincing sensory-motor input to trigger natural learning. The architecture extends the Controller Problem thesis Grillos, 2026, in which biological neural tissue retains control authority while silicon serves as the interface layer. We ground each subsystem in the current BCI evidence base, identify speci c open engineering and neuroscience problems, and propose a staged development pathway including pharmacological and sleep-state alternatives for motor isolation.
Chris Grillos (Fri,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: