Biophysically realistic neuron models for simulation of cortical stimulation (Aberra et al. 2018)

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Accession:241165
This archive instantiates the single-cell cortical models used in (Aberra et al. 2018) and sets up extracellular stimulation with either a point-current source, to simulate intracortical microstimulation (ICMS), or a uniform E-field distribution, with a monophasic, rectangular pulse waveform in both cases.
Reference:
1 . Aberra AS, Peterchev AV, Grill WM (2018) Biophysically realistic neuron models for simulation of cortical stimulation. J Neural Eng 15:066023 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Axon;
Brain Region(s)/Organism: Neocortex; Barrel cortex;
Cell Type(s): Myelinated neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Action Potential Initiation; Detailed Neuronal Models;
Implementer(s): Aberra, Aman [aman.aberra at duke.edu];
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AberraEtAl2018
cells
L4_LBC_cACint209_2
mechanisms
morphology
synapses
README *
.provenance.json
biophysics.hoc *
cellinfo.json
CHANGELOG *
constants.hoc *
creategui.hoc *
createsimulation.hoc
current_amps.dat
init.hoc *
LICENSE *
morphology.hoc
mosinit.hoc *
ringplot.hoc *
run.py
run_hoc.sh *
run_py.sh *
run_RmpRiTau.py
run_RmpRiTau_py.sh *
template.hoc
VERSION *
                            
1.0.11: Made compatible with python3. Improved README
1.0.10: Increased the current to calculate the Rin to get above the noise level
        for models with stochastic channels
1.0.9:  Every model package now contains a cellinfo.json file with e.g. the
        m-type, e-type, etc.
1.0.8:  Code was added to calculate the Resting Membrane Potential, 
        Input Resitance and Time constant
1.0.6:  Make random number generators use exact same seed as in large network 
        simulation