Coping with Variability in Small Neuronal Networks

• Published in: Integrative and comparative biology 2011-12, Vol.51 (6), p.845-855
• Main Authors: Calabrese, Ronald L, Norris, Brian J., Wenning, Angela, Wright, Terrence M.
• Format: Article
• Language: English
• Subjects: Animals; Central pattern generator; Circuit diagrams; Correlation analysis; Electric Stimulation; Ganglia; Ganglia, Invertebrate - physiology; Heart; Heart - physiology; Heart Rate - physiology; Hirudinea; Hirudo medicinalis - physiology; I've Got Rhythm: Neuronal Mechanisms of Central Pattern Generators; Interneurons; Interneurons - physiology; Mathematical independent variables; Motor ability; Motor neurons; Motor Neurons - physiology; Nerve Net - physiology; Neural Inhibition; Neural networks; Neurons; Phase diagrams; Reviews; Species Specificity; Switches; Synapses - physiology; Synaptic strength; Synaptic Transmission
• ISSN: 1540-7063; 1557-7023
• DOI: 10.1093/icb/icr074

Experimental and corresponding modeling studies indicate that there is a 2- to 5-fold variation of intrinsic and synaptic parameters across animals while functional output is maintained. Here, we review experiments, using the heartbeat central pattern generator (CPG) in medicinal leeches, which explore the consequences of animal-to-animal variation in synaptic strength for coordinated motor output. We focus on a set of segmental heart motor neurons that all receive inhibitory synaptic input from the same four premotor interneurons. These four premotor inputs fire in a phase progression and the motor neurons also fire in a phase progression because of differences in synaptic strength profiles of the four inputs among segments. Our work tested the hypothesis that functional output is maintained in the face of animal-to-animal variation in the absolute strength of connections because relative strengths of the four inputs onto particular motor neurons is maintained across animals. Our experiments showed that relative strength is not strictly maintained across animals even as functional output is maintained, and animal-to-animal variations in strength of particular inputs do not correlate strongly with output phase. Further experiments measured the precise temporal pattern of the premotor inputs, the segmental synaptic strength profiles of their connections onto motor neurons, and the temporal pattern (phase progression) of those motor neurons all in the same animal for a series of 12 animals. The analysis of input and output in this sample of 12 individuals suggests that the number (four) of inputs to each motor neuron and the variability of the temporal pattern of input from the CPG across individuals weaken the influence of the strength of individual inputs. Moreover, the temporal pattern of the output varies as much across individuals as that of the input. Essentially, each animal arrives at a unique solution for how the network produces functional output.