2009
DOI: 10.1038/nn0409-377
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The quest for action potentials in C. elegans neurons hits a plateau

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Cited by 75 publications
(62 citation statements)
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References 39 publications
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“…The absence of action potentials may be due to the very high membrane resistance. Indeed, many neurons are essentially isopotential; changes in voltage are experienced virtually instantaneously by the entire cell , so action potentials may not be necessary (Lockery and Goodman 2009). Neurons express a wide variety of ion channels (Hobert 2013), including an unexpectedly large number of genes encoding potassium channels (Salkoff et al 2005).…”
Section: Muscles-controlling Animal Movementmentioning
confidence: 99%
“…The absence of action potentials may be due to the very high membrane resistance. Indeed, many neurons are essentially isopotential; changes in voltage are experienced virtually instantaneously by the entire cell , so action potentials may not be necessary (Lockery and Goodman 2009). Neurons express a wide variety of ion channels (Hobert 2013), including an unexpectedly large number of genes encoding potassium channels (Salkoff et al 2005).…”
Section: Muscles-controlling Animal Movementmentioning
confidence: 99%
“…Consequently, individual neurons can often be modeled as single electrical compartments. Consistent with their electrical compactness, and the absence of voltage gated sodium channels in the C. elegans genome [14], most C. elegans neurons probably do not fire classical, sodium-dependent action potentials [11,15] and synaptic transmission between C. elegans neurons is likely to be graded [16]. Thus, the widely-used formalism of real-time recurrent neural networks [17], which is formally equivalent to networks of single compartment neurons with graded synaptic input-output functions, is a better approximation of network-level function in C. elegans than in most other systems.…”
Section: Introductionmentioning
confidence: 99%
“…Many neurons in the network are nearly isopotential [46, 47], and it is a common and reasonable simplification to model neurons via single-compartment membrane equations, with membrane voltages as the state variables for each neuron. Given this, Wicks et al constructed a single-compartment membrane model for neuron dynamics [48], which we later extended to incorporate connection data for the full somatic connectome [39].…”
Section: Methodsmentioning
confidence: 99%