SOURCE-LINKED INTELLIGENCE
Real-Time Neuromorphic Spectrum Intelligence Simulator
We present the Real-Time Neuromorphic Spectrum Intelligence Simulator (RT-NuSIS), a modular framework to study spiking neural network (SNN) and memristor-inspired agents for dynamic spectrum access under constrained energy budgets and adversarial conditions. RT-NuSIS couples leaky integrate-and-fire neuronal dynamics, memristive synaptic models, physics-informed energy-harvesting models (triboelectric and RF), and adversary models including jamming and Byzantine behavior. We formalize the simulator mathematically, prove boundedness, present a mean-field adversary threshold, analyze per-step co
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T02:27:12.000Z
First collected: 2026-09-21T06:21:59.299Z. This is not the publication date.