ArticlePLoS computational biology2015
Modelling the Effects of Electrical Coupling between Unmyelinated Axons of Brainstem Neurons Controlling Rhythmic Activity.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 18 citations in OpenAlex.
- Mechanisms Underlying the Recruitment of Inhibitory Interneurons in Fictive Swimming in DevelopingThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- From decision to action: Detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory signals.PLoS computational biology · 2021Article
- The decision to move: response times, neuronal circuits and sensory memory in a simple vertebrate.Proceedings. Biological sciences · 2019Review
- Axonal Computations.Frontiers in cellular neuroscience · 2019Review
- Myelin and Modeling: Bootstrapping Cortical Microcircuits.Frontiers in neural circuits · 2019Review
- Article
- A simple decision to move in response to touch reveals basic sensory memory and mechanisms for variable response times.The Journal of physiology · 2018Article
- Bifurcations of Limit Cycles in a Reduced Model of the Xenopus Tadpole Central Pattern Generator.Journal of mathematical neuroscience · 2018Article
- Article
- Modelling Feedback Excitation, Pacemaker Properties and Sensory Switching of Electrically Coupled Brainstem Neurons Controlling Rhythmic Activity.PLoS computational biology · 2016Article
- Sensory initiation of a co-ordinated motor response: synaptic excitation underlying simple decision-making.The Journal of physiology · 2015Article
- Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Gap junctions between fine unmyelinated axons can electrically couple groups of brain neurons to synchronise firing and contribute to rhythmic activity. To explore the distribution and significance of electrical coupling, we modelled a well analysed, small population of brainstem neurons which drive swimming in young frog tadpoles. A passive network of 30 multicompartmental neurons with unmyelinated axons was used to infer that: axon-axon gap junctions close to the soma gave the best match to experimentally measured coupling coefficients; axon diameter had a strong influence on coupling; most neurons were coupled indirectly via the axons of other neurons. When active channels were added, gap junctions could make action potential propagation along the thin axons unreliable. Increased sodium and decreased potassium channel densities in the initial axon segment improved action potential propagation. Modelling suggested that the single spike firing to step current injection observed in whole-cell recordings is not a cellular property but a dynamic consequence of shunting resulting from electrical coupling. Without electrical coupling, firing of the population during depolarising current was unsynchronised; with coupling, the population showed synchronous recruitment and rhythmic firing. When activated instead by increasing levels of modelled sensory pathway input, the population without electrical coupling was recruited incrementally to unpatterned activity. However, when coupled, the population was recruited all-or-none at threshold into a rhythmic swimming pattern: the tadpole "decided" to swim. Modelling emphasises uncertainties about fine unmyelinated axon physiology but, when informed by biological data, makes general predictions about gap junctions: locations close to the soma; relatively small numbers; many indirect connections between neurons; cause of action potential propagation failure in fine axons; misleading alteration of intrinsic firing properties. Modelling also indicates that electrical coupling within a population can synchronize recruitment of neurons and their pacemaker firing during rhythmic activity.
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