2011
DOI: 10.1007/s10827-011-0375-3
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Co-variation of ionic conductances supports phase maintenance in stomatogastric neurons

Abstract: Neuronal networks produce reliable functional output throughout the lifespan of an animal despite ceaseless molecular turnover and a constantly changing environment. Central pattern generators, such as those of the crustacean stomatogastric ganglion (STG), are able to robustly maintain their functionality over a wide range of burst periods. Previous experimental work involving extracellular recordings of the pyloric pattern of the STG has demonstrated that as the burst period varies, the inter-neuronal delays … Show more

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Cited by 37 publications
(32 citation statements)
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“…Another interesting avenue of exploration is whether certain pairs of conductances result in the preservation of PRC shape. Several studies have demonstrated that parameters at the mRNA (Schulz et al 2007; Tobin et al 2009), cellular (Soofi et al 2012; Ball et al 2010; Hudson and Prinz 2010), and synaptic (Goaillard et al 2009) levels exhibit pairwise correlations within solution spaces. Examining whether pairwise correlations also preserve PRC shape is a natural extension of these studies, since the PRC provides a functional view of the neuron’s role in determining network-level output.…”
Section: Discussionmentioning
confidence: 99%
“…Another interesting avenue of exploration is whether certain pairs of conductances result in the preservation of PRC shape. Several studies have demonstrated that parameters at the mRNA (Schulz et al 2007; Tobin et al 2009), cellular (Soofi et al 2012; Ball et al 2010; Hudson and Prinz 2010), and synaptic (Goaillard et al 2009) levels exhibit pairwise correlations within solution spaces. Examining whether pairwise correlations also preserve PRC shape is a natural extension of these studies, since the PRC provides a functional view of the neuron’s role in determining network-level output.…”
Section: Discussionmentioning
confidence: 99%
“…5B). However, the complement of these currents varies, and every individual neuron establishes a different dynamic balance of inward and outward currents, a principle that has been well documented for invertebrate neurons (Hudson and Prinz, 2010; Khorkova and Golowasch, 2007; Soofi et al, 2012; Temporal et al, 2012; Zhao and Golowasch, 2012). As a result, some neurons within the respiratory network are more bursting than others; some burst regularly, some are irregular, some discharge tonically, and some are silent (Carroll and Ramirez, 2013; Garcia et al, 2011; Koch et al, 2011; Ramirez et al, 2011, 2012; Viemari and Ramirez, 2006).…”
Section: How Is Breathing Variability Generated?mentioning
confidence: 99%
“…This question applies equally to cases of individual variability and to those of population variability, although the mechanisms that may generate these two distinct classes of variability could differ. Theoretical work predicts that this should be the case (Burdakov 2005, Olypher and Calabrese 2007, Taylor et al 2009, Ball et al 2010, Hudson and Prinz 2010, Soofi et al 2012, Lamb and Calabrese 2013). Most of these studies show that linear or nearly linear combinations of the maximal conductances of two or more ionic currents (conductance correlations) define regions in parameter space in which activity traits are fixed, although linear relations are not always what is needed.…”
Section: Invariance Of Activity and Current Correlationsmentioning
confidence: 99%