Model of peripheral nerve with ephaptic coupling (Capllonch-Juan & Sepulveda 2020)

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Accession:263988
We built a computational model of a peripheral nerve trunk in which the interstitial space between the fibers and the tissues is modelled using a resistor network, thus enabling distance-dependent ephaptic coupling between myelinated axons and between fascicles as well. We used the model to simulate a) the stimulation of a nerve trunk model with a cuff electrode, and b) the propagation of action potentials along the axons. Results were used to investigate the effect of ephaptic interactions on recruitment and selectivity stemming from artificial (i.e., neural implant) stimulation and on the relative timing between action potentials during propagation.
Reference:
1 . Capllonch-Juan M, Sepulveda F (2020) Modelling the effects of ephaptic coupling on selectivity and response patterns during artificial stimulation of peripheral nerves. PLoS Comput Biol 16:e1007826 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Extracellular; Axon;
Brain Region(s)/Organism:
Cell Type(s): Myelinated neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; Python;
Model Concept(s): Ephaptic coupling; Stimulus selectivity;
Implementer(s):
/
publication_data
dataset_02__stimulation
noec
code
README.md
algebra.py *
create_folders.py
extstim.csv
geometry.py *
get_stim_results.py
modify_files_all.sh *
recruitment_data.txt
run_all_simulations.sh *
run_all_simulations_specific.sh *
stim_results_current_00200nA_noEC.json
stim_results_current_00400nA_noEC.json
stim_results_current_00600nA_noEC.json
stim_results_current_00800nA_noEC.json
stim_results_current_01000nA_noEC.json
stim_results_current_01200nA_noEC.json
stim_results_current_01400nA_noEC.json
stim_results_current_01600nA_noEC.json
stim_results_current_01800nA_noEC.json
stim_results_current_02000nA_noEC.json
stim_results_current_02200nA_noEC.json
stim_results_current_02400nA_noEC.json
stim_results_current_02600nA_noEC.json
stim_results_current_02800nA_noEC.json
stim_results_current_03000nA_noEC.json
stim_results_current_03200nA_noEC.json
stim_results_current_03400nA_noEC.json
stim_results_current_03600nA_noEC.json
stim_results_current_03800nA_noEC.json
stim_results_current_04000nA_noEC.json
tools.py *
workspace.py *
                            
# Simple script to run all simulations at once

for i in ./*; do
	if [[ -d $i ]]; then
		cd $i
		echo $i
		for i in ./*; do
			if [[ $i == './EC' ]] || [[ $i == './noEC' ]]; then
				echo $i
				cd $i
				rm nohup.out
				nohup python -B sim_launcher.py &
				echo "Process ID: ${!}" >> aaa_info_dataset
				echo `cat aaa_info_dataset`
				echo ""
				cd ..
			fi
			cd ..
		done
	fi
done