We propose a speculative framework in which the underlying structure of reality is modeled as adensely connected neural network, with reality emerging from a computational substrate. In this approach, wave phenomena arise from subthreshold activations across many nodes, while particle phenomena occur when individual nodes exceed a threshold and "spike." We suggest that this model can capture key features of quantum mechanics, including wave-particle duality, measurement-induced collapse, and the generation of virtual particles when local energy surpasses threshold. Furthermore, a high concentration of spikes in one region may slow the local "computational speed," suggesting an interpretation of gravitational time dilation and space-time curvature. Though conceptual, theframework could be tested by scenarios in which a single photon or electron sometimes yields nodetection (lost to sub-threshold dissipation) or multiple detections (leftover activation combining with new signals). We conclude by discussing open challenges, especially regarding entanglement, non-local correlations, Lorentz invariance, and the full embedding of this idea into known gauge symmetries.