ArticleFrontiers in behavioral neuroscience2010
A role for compromise: synaptic inhibition and electrical coupling interact to control phasing in the leech heartbeat CpG.
Article in Frontiers in behavioral neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Inhibitory circuits control leg movements duringeLife · 2026Article
- Inhibitory circuits control leg movements duringbioRxiv : the preprint server for biology · 2025Article
- Multistability of bursting rhythms in a half-center oscillator and the protective effects of synaptic inhibition.Frontiers in cellular neuroscience · 2024Article
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- Connectomic analysis of theeLife · 2022Article
- Neuronal Switching between Single- and Dual-Network Activity via Modulation of Intrinsic Membrane Properties.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Comodulation of h- and NaThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- State-dependent sensorimotor gating in a rhythmic motor system.Journal of neurophysiology · 2017Article
- The neural control of heartbeat in invertebrates.Current opinion in neurobiology · 2016Review
- Microcircuits in respiratory rhythm generation: commonalities with other rhythm generating networks and evolutionary perspectives.Current opinion in neurobiology · 2016Review
- Electrical coupling and innexin expression in the stomatogastric ganglion of the crab Cancer borealis.Journal of neurophysiology · 2014Article
- Functional differentiation of a population of electrically coupled heterogeneous elements in a microcircuit.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
- High prevalence of multistability of rest states and bursting in a database of a model neuron.PLoS computational biology · 2013Article
- Small is beautiful: models of small neuronal networks.Current opinion in neurobiology · 2012Review
- Animal-to-animal variability of connection strength in the leech heartbeat central pattern generator.Journal of neurophysiology · 2012Article
- Tonic nanomolar dopamine enables an activity-dependent phase recovery mechanism that persistently alters the maximal conductance of the hyperpolarization-activated current in a rhythmically active neuron.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2011Article
- Bringing up the rear: new premotor interneurons add regional complexity to a segmentally distributed motor pattern.Journal of neurophysiology · 2011Article
- The same core rhythm generator underlies different rhythmic motor patterns.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2011Article
- Differential modulation of synaptic strength and timing regulate synaptic efficacy in a motor network.Journal of neurophysiology · 2011Article
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4 authors.
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Abstract
How can flexible phasing be generated by a central pattern generator (CPG)? To address this question, we have extended an existing model of the leech heartbeat CPG's timing network to construct a model of the CPG core and explore how appropriate phasing is set up by parameter variation. Within the CPG, the phasing among premotor interneurons switches regularly between two well defined states - synchronous and peristaltic. To reproduce experimentally observed phasing, we varied the strength of inhibitory synaptic and excitatory electrical input from the timing network to follower premotor interneurons. Neither inhibitory nor electrical input alone was sufficient to produce proper phasing on both sides, but instead a balance was required. Our model suggests that the different phasing of the two sides arises because the inhibitory synapses and electrical coupling oppose one another on one side (peristaltic) and reinforce one another on the other (synchronous). Our search of parameter space defined by the strength of inhibitory synaptic and excitatory electrical input strength led to a CPG model that well approximates the experimentally observed phase relations. The strength values derived from this analysis constitute model predictions that we tested by measurements made in the living system. Further, variation of the intrinsic properties of follower interneurons showed that they too systematically influence phasing. We conclude that a combination of inhibitory synaptic and excitatory electrical input interacting with neuronal intrinsic properties can flexibly generate a variety of phase relations so that almost any phasing is possible.
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