Drosophila 3rd instar larval aCC motoneuron - Gunay et al 2014

Drosophila 3rd instar larval aCC motoneuron

Note: For previous versions of the models and information about changes, see Releases

This is the modeling package to accompany the paper:

Cengiz G√ľnay, Fred Sieling, Logesh Dharmar, Wei-Hsiang Lin, Verena Wolfram, Richard Marley, Richard A. Baines, and Astrid A. Prinz. Distal Spike Initiation Zone Location Estimation by Morphological Simulation of Ionic Current Filtering Demonstrated in a Novel Model of an Identified Drosophila Motoneuron,
PLoS Comput Biol 2015, 11(5): e1004189

OpenSourceBrain page:
http://www.opensourcebrain.org/projects/drosophila-acc-l3-motoneuron-gunay-et-al-2014

ModelDB accession number is: 152028
https://senselab.med.yale.edu/modeldb/ShowModel.asp?model=152028

Download from:

https://github.com/cengique/drosophila-aCC-L3-motoneuron-model/archive/master.zip
OR
http://www.biology.emory.edu/research/Prinz/Cengiz/Gunay_etal_2014.zip

Single compartmental, ball-and-stick models implemented in XPP and full morphological model in Neuron. Paper correlates anatomical properties with electrophysiological recordings from these hard-to-access neurons. For instance we make predictions about location of the spike initiation zone, channel distributions, and synaptic input parameters.

Requirements:

XPPAUT 5.99 - http://www.math.pitt.edu/~bard/xpp/xpp.html

Neuron 7.1 - http://www.neuron.yale.edu/neuron/

jNeuroML - https://github.com/NeuroML/jNeuroML

Directories:

xpp-models/ Isopotential and ball-and-stick models using the XPPAUT simulator.

neuron-model/ Multicompartmental model using the Neuron simulator. Follow tutorial in the README to get started with model and replicate paper figures.

NeuroML2/ Ports of all models to NeuroML2 and LEMS. Includes OMV tests to check for consistency with the original models: Build Status

Credits:

Workflow/history of project:

  • Channel data were fit with the Neurofit tool and then re-adjusted with param-fitter in Matlab.
  • XPP models were built with these channels and hand-tuned to fit observed f-I, v-I, and delay.
  • Neuron model used these channels and some properties of the ball-and-stick model.
  • Morphological reconstruction passive parameters were tuned to recorded capacitance responses.
  • Channel distribution hand tuned to mimick observed current responses.

Please report problems/suggestions/comments to:

Cengiz Gunay (cengique AT users.sf.net)

Original XPP & NEURON versions on GitHub; conversion to

Developer: Boris Marin, Padraig Gleeson

Scientific Coordinator: Cengiz Gunay

Scientific Advisor: Astrid Prinz

The original published version of this model is available on ModelDB

This model was originally developed in: XPP; NEURON

The code for this model is hosted on GitHub: https://github.com/cengique/drosophila-aCC-L3-motoneuron-model.git