4 papers
Self-Organized Criticality from Protected Mean-Field Dynamics: Loop Stability and Internal Renormalization in Reflective Neural Systems
Byung Gyu Chae
The reflective homeostatic dynamics provides a minimal mechanism for self-organized criticality in neural systems. Starting from a reduced stochastic description, we demonstrate wi…
Renormalization-Group Geometry of Homeostatically Regulated Reentry Networks
Byung Gyu Chae
Reentrant computation-recursive self-coupling in which a network continuously reinjects and reinterprets its own internal state-plays a central role in biological cognition but rem…
Continuous-Time Homeostatic Dynamics for Reentrant Inference Models
Byung Gyu Chae
We formulate the Fast-Weights Homeostatic Reentry Network (FHRN) as a continuous-time neural-ODE system, revealing its role as a norm-regulated reentrant dynamical process. Startin…
Recursive Dynamics in Fast-Weights Homeostatic Reentry Networks: Toward Reflective Intelligence
B. G. Chae
This study introduces the Fast-Weights Homeostatic Reentry Layer (FH-RL), a neural mechanism that integrates fast-weight associative memory, homeostatic regularization, and learned…