Computing Temporal Sequences Associated With Dynamic Patterns on the C. elegans Connectome

Understanding how the structural connectivity and spatial geometry of a network constrains dynamics it is able to support an active open area research. We simulated plausible resulting from known C. elegans connectome using recent model theoretical analysis that computes neurobiological networks by focusing on local interactions among connected neurons give rise global in emergent way. studied which resulted stimulating chemosensory neuron (ASEL) feeding circuit, both isolation embedded full connectome. show contralateral motorneuron activations ventral (VB) dorsal (DB) classes motorneurons emerged simulations, are qualitatively similar rhythmic firing pattern associated with locomotion worm. One interpretation these results there inherent—and we propose—purposeful wiring has evolved serve specific behavioral functions. To study signaling pathways responsible for developed analytic framework constructs Temporal Sequences (TSeq), time-ordered walks signals graphs. found only 5% TSeq preserved between isolated relative its counterpart. The remaining 95% computed not present network. This suggests cautionary note computational studies circuits networks.