NeuroGlialNet: A Novel Brain-Inspired Architecture with Multi-Layer Astrocyte Networks
Description
We introduce NeuroGlialNet (NGN), a lightweight neural architecture that models the computational partnership between neurons and astrocytes in the brain. The architecture integrates multi-scale cortical processing with hierarchical astrocyte calcium dynamics through reaction-diffusion PDEs, spatial memory mechanisms, and quantum interference modulation. This concept paper presents the mathematical foundations and architectural innovations that enable brain-like computation in artificial systems. The current implementation has ~ 17,000 parameters (~ 0.066 MB for 32-bit floats), corresponding to a model size of less than 0.1 MB .
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NeuroGlialNetv1.0.pdf
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References
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