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Avalanches with power-law distributed size parameters have been observed inneuronal networks. This observation might be a manifestation of theself-organized criticality (SOC). Yet, the physiological mechanicsm of thisbehavior is currently unknown. Describing synaptic noise as transmissionfailures mainly originating from the probabilistic nature of neurotransmitterrelease, this study investigates the potential of this noise as a mechanism fordriving the functional architecture of the neuronal networks towards SOC. Tothis end, a simple finite state neuron model, with activity dependent andsynapse specific failure probabilities, was built based on the known anatomicalconnectivity data of the nematode Ceanorhabditis elegans. Beginning from randomvalues, it was observed that synaptic noise levels picked out a set of synapsesand consequently an active subnetwork which generates power-law distributedneuronal avalanches. The findings of this study brings up the possibility thatsynaptic failures might be a component of physiological processes underlyingSOC in neuronal networks.

Synaptic Noise Facilitates the Emergence of Self-Organized Criticality in the Caenorhabditis elegans Neuronal Network