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Despite recent interest in reconstructing neuronal networks, complete wiringdiagrams on the level of individual synapses remain scarce and the insightsinto function they can provide remain unclear. Even for Caenorhabditis elegans,whose neuronal network is relatively small and stereotypical from animal toanimal, published wiring diagrams are neither accurate nor complete andself-consistent. Using materials from White et al. and new electron micrographswe assemble whole, self-consistent gap junction and chemical synapse networksof hermaphrodite C. elegans. We propose a method to visualize the wiringdiagram, which reflects network signal flow. We calculate statistical andtopological properties of the network, such as degree distributions, synapticmultiplicities, and small-world properties, that help in understanding networksignal propagation. We identify neurons that may play central roles ininformation processing and network motifs that could serve as functionalmodules of the network. We explore propagation of neuronal activity in responseto sensory or artificial stimulation using linear systems theory and findseveral activity patterns that could serve as substrates of previouslydescribed behaviors. Finally, we analyze the interaction between the gapjunction and the chemical synapse networks. Since several statisticalproperties of the C. elegans network, such as multiplicity and motifdistributions are similar to those found in mammalian neocortex, they likelypoint to general principles of neuronal networks. The wiring diagram reportedhere can help in understanding the mechanistic basis of behavior by generatingpredictions about future experiments involving genetic perturbations, laserablations, or monitoring propagation of neuronal activity in response tostimulation.

Structural Properties of the Caenorhabditis elegans Neuronal Network