Nickolay Gorlanov

Living Neural Compute Architecture (LNCA): Autologous Pretrained Neural Grafts, Biological Foundation Models, Experience Compression, and Sleep-State Continual Learning

Living Neural Compute Architecture (LNCA) proposes a falsifiable research framework for creating, training, transplanting, and subsequently adapting living neural modules derived from autologous human cells. The central hypothesis is that an engineered neural network may acquire...

Continuous Neural Continuity Architecture (CNCA): A Falsifiable Research Framework for Progressive Functional Integration, Neural Shadowing, and Rolling Replacement of Living Neural Tissue

Continuous Neural Continuity Architecture (CNCA) is a falsifiable research framework for investigating whether living neural functions can be progressively integrated into, shared with, and locally transferred toward newly engineered neural tissue while the larger neural system r...