The Syncytial Mesh Model proposes that astrocytic syncytial organization supplies a continuous mesoscale control field that shapes scale-dependent neuronal coherence and traveling-wave patterns beyond direct synaptic connectivity.
The economy of brain network organization
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DGMM is proposed as an explicit graph-structured memory architecture for AI that enables persistent episodic memory, cue-based recall, and context-dependent interpretation without retraining.
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The Syncytial Mesh Model: A Mesoscale Control-Field Framework for Scale-Dependent Coherence in the Brain
The Syncytial Mesh Model proposes that astrocytic syncytial organization supplies a continuous mesoscale control field that shapes scale-dependent neuronal coherence and traveling-wave patterns beyond direct synaptic connectivity.
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The Dynamic Gist-Based Memory Model (DGMM): A Memory-Centric Architecture for Artificial Intelligence
DGMM is proposed as an explicit graph-structured memory architecture for AI that enables persistent episodic memory, cue-based recall, and context-dependent interpretation without retraining.