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NeuroSparkSNT: An Eight-Operator Framework for Behavioral Phase Dynamics in C. elegans Neural Simulation

Yazır D

2026

Abstract

Abstract The nematode C. elegans possesses one of the most thoroughly characterized nervous systems in biology, yet existing computational models of its locomotion occupy opposite architectural extremes: biophysi-cally detailed conductance-based simulations that faithfully reproduce single-neuron membrane dynamics but cannot account for the discrete, mutually exclusive transitions between behavioral states, and mean-field rate models that capture certain population-level statistics but sacrifice circuit specificity. Neither class was designed to reproduce the abrupt, all-or-none phase switching—forward crawling, reversal , omega-turn reorientation—that whole-brain calcium imaging has shown to be the defining dynamical signature of freely behaving C. elegans. We present NeuroSparkSNT, an eight-operator framework built directly on the Cook et al. (2019) connectome (114 of 300 neurons, spanning sensory, interneuron, and motor groups), in which a semi-Markov phase controller gates operator activity so that competing loco-motor drives are structurally, not merely numerically, exclusive. Two architectural variants are evaluated under identical biological parameters: a monolithic implementation in which all operators are evaluated at every simulation step, and a pool-dispatch implementation in which only the operators appropriate to the current phase are evaluated. Across twelve quantitative benchmarks calibrated against five independent experimental datasets, the pool-dispatch…

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