@article {69339,
	title = {Neuronal morphologies built for reliable physiology in a rhythmic motor circuit},
	journal = {eLife},
	volume = {8},
	year = {2019},
	month = {2019 Jan 19},
	pages = {e41728},
	abstract = {<p>It is often assumed that highly-branched neuronal structures perform compartmentalized computations. However, previously we showed that the Gastric Mill (GM) neuron in the crustacean stomatogastric ganglion (STG) operates like a single electrotonic compartment, despite having thousands of branch points and total cable length \&gt;10 mm (Otopalik et al., 2017a; 2017b). Here we show that compact electrotonic architecture is generalizable to other STG neuron types, and that these neurons present direction-insensitive, linear voltage integration, suggesting they pool synaptic inputs across their neuronal structures. We also show, using simulations of 720 cable models spanning a broad range of geometries and passive properties, that compact electrotonus, linear integration, and directional insensitivity in STG neurons arise from their neurite geometries (diameters tapering from 10-20 {\textmu}m to \uline\&lt; 2 {\textmu}m at their terminal tips). A broad parameter search reveals multiple morphological and biophysical solutions for achieving different degrees of passive electrotonic decrement and computational strategies in the absence of active properties.</p>
},
	keywords = {cancer borealis, electrotonus, Stomatogastric ganglion, variability, voltage Integration},
	issn = {2050-084X},
	doi = {10.7554/eLife.41728},
	url = {https://doi.org/10.7554/eLife.41728},
	author = {Otopalik, Adriane G and Pipkin, Jason and Marder, Eve},
	editor = {Slutsky, Inna and Calabrese, Ronald L}
}
