neuron-model

Morphologically reconstructed model using the NEURON simulator

Prerequisites:

1. Download the latest drosophila-aCC-L3-motoneuron-model or the 1.0 stable release and extract the ZIP file to a folder on your computer
2. Install Python
3. Install NEURON 7.1 or later

Testing

To check if NEURON is properly set up for use with Python:

1. Open Anaconda Prompt or a terminal program (command prompt, bash, terminal)
2. Type in idle, ipython, or py and press the Enter key
3. Enter from neuron import h

If installed properly, the last line should not create any errors.

Opening the simulation:

Linux/MacOS

• In Linux or Mac OS X, navigate to the folder that holds the model drosophila-aCC-L3-motoneuron-model-master/neuron-model
• To open the model, switch to a terminal and type nrngui "experiment.ses" for a SES file and python experiment.py for PY file.

Windows

• In Windows, right click on the SES file and open it with NEURON
• If you do not see the option, select Open with... and navigate to C:\nrn\bin\neuron
• For PY files, open the command prompt (CMD) and type py experiment.py

Running the simulation

Once NEURON opens, look for Init & Run on the control window to run a sample simulation. The IClamp point process parameters can be adjusted to change input current injected to the soma. See under Tutorials for more manipulations.

Available experiment files

• exp-axon-tail2-chans-ext-axon-70um.ses - published base model that contains an extended axon containing Na-K spiking channels at 70um distance from its soma.
• exp-axon-tail2-chans-ext-axon-70um-10x-mimic-sustained-random.py - an extension of the base model that has 10 predefined synaptic locations to test sustained inputs to mimic spontaneous rhythmic current (SRC) responses.

Tutorials

• Replicate Paper Figures with NEURON
• Python with NEURON
• Saturating synapses with stimulus
• Replicating mini EPSCs and location-dependent membrane filtering for synaptic inputs