Merge pull request #200 from NeuroML/feat/document-conversion-walkthr…

…ough

wip: document conversion of Ray 2020 as an example

source/Reference/references.bib

@@ -218,3 +218,25 @@ @Article{Smith2016
   volume       = {2},
   abstract     = {Software is a critical part of modern research and yet there is little support across the scholarly ecosystem for its acknowledgement and citation. Inspired by the activities of the FORCE11 working group focused on data citation, this document summarizes the recommendations of the FORCE11 Software Citation Working Group and its activities between June 2015 and April 2016. Based on a review of existing community practices, the goal of the working group was to produce a consolidated set of citation principles that may encourage broad adoption of a consistent policy for software citation across disciplines and venues. Our work is presented here as a set of software citation principles, a discussion of the motivations for developing the principles, reviews of existing community practice, and a discussion of the requirements these principles would place upon different stakeholders. Working examples and possible technical solutions for how these principles can be implemented will be discussed in a separate paper.},
 }
+@Article{Ray2020,
+  author       = {Ray, Subhasis and Aldworth, Zane N. and Stopfer, Mark A.},
+  date         = {2020-03},
+  year         = {2020},
+  journal      = {eLife},
+  journaltitle = {eLife},
+  title        = {Feedback inhibition and its control in an insect olfactory circuit},
+  doi          = {10.7554/eLife.53281},
+  editor       = {Scott, Kristin and Calabrese, Ronald L},
+  issn         = {2050-084X},
+  pages        = {e53281},
+  url          = {https://doi.org/10.7554/eLife.53281},
+  volume       = {9},
+  abstract     = {Inhibitory neurons play critical roles in regulating and shaping olfactory responses in vertebrates and invertebrates. In insects, these roles are performed by relatively few neurons, which can be interrogated efficiently, revealing fundamental principles of olfactory coding. Here, with electrophysiological recordings from the locust and a large-scale biophysical model, we analyzed the properties and functions of GGN, a unique giant GABAergic neuron that plays a central role in structuring olfactory codes in the locust mushroom body. Our simulations suggest that depolarizing GGN at its input branch can globally inhibit KCs several hundred microns away. Our in vivorecordings show that GGN responds to odors with complex temporal patterns of depolarization and hyperpolarization that can vary with odors and across animals, leading our model to predict the existence of a yet-undiscovered olfactory pathway. Our analysis reveals basic new features of GGN and the olfactory network surrounding it.},
+  article_type = {journal},
+  citation     = {eLife 2020;9:e53281},
+  file         = {:Ray2020 - Feedback Inhibition and Its Control in an Insect Olfactory Circuit.pdf:PDF},
+  groups       = {Spiking models},
+  keywords     = {schistocerca americana, computational model, olfactory system, mushroom body, locust, GGN},
+  pub_date     = {2020-03-12},
+  publisher    = {eLife Sciences Publications, Ltd},
+}