Advanced search
SenseLab
SimToolDB
ModelDB Help
User account
Login
Register
Find models by
Model name
First author
Each author
Region(circuits)
Find models for
Cell type
Current
Receptor
Gene
Transmitters
Concept
Simulators
Methods
Find models of
Realistic Networks
Neurons
Electrical synapses (gap junctions)
Chemical synapses
Ion channels
Neuromuscular junctions
Axons
Pathophysiology
Other resources
SenseLab mailing list
ModelDB related resources
Computational neuroscience ecosystem
Models in a git repository
Spikelet generation and AP initiation in a simplified pyr neuron (Michalikova et al. 2017) Fig 3
 
Download zip file
Help downloading and running models
Model Information
Model File
Citations
Versions on GitHub
Accession:
206400
The article by Michalikova et al. (2017) explores the generation of spikelets in cortical pyramidal neurons. This package contains code for simulating the model with simplified morphology shown in Figs 3 and S2.
Reference:
1 .
Michalikova M, Remme MW, Kempter R (2017) Spikelets in Pyramidal Neurons: Action Potentials Initiated in the Axon Initial Segment That Do Not Activate the Soma.
PLoS Comput Biol
13
:e1005237
[
PubMed
]
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:
Cell Type(s):
Channel(s):
I Na,t;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Python;
Model Concept(s):
Action Potentials;
Electrotonus;
Action Potential Initiation;
Axonal Action Potentials;
Implementer(s):
Michalikova, Martina [tinka.michalikova at gmail.com];
Search NeuronDB
for information about:
I Na,t
;
Download the displayed file
/
MichalikovaEtAl2016Fig3
Readme.html
kdrca1.mod
km.mod
na3n.mod
naxn.mod
init_plotting.py
main.py
model.py
mosinit.py
*
Other models using mosinit.py:
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
params.py
screenshot.png
sec.py
sim.py
Loading data, please wait...