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
CA1 pyramidal cell: reconstructed axonal arbor and failures at weak gap junctions (Vladimirov 2011)
Download zip file
Auto-launch
Help downloading and running models
Model Information
Model File
Citations
Model Views
Accession:
144401
Model of pyramidal CA1 cells connected by gap junctions in their axons. Cell geometry is based on anatomical reconstruction of rat CA1 cell (NeuroMorpho.Org ID: NMO_00927) with long axonal arbor. Model init_2cells.hoc shows failures of second spike propagation in a spike doublet, depending on conductance of an axonal gap junction. Model init_ring.hoc shows that spike failure result in reentrant oscillations of a spike in a loop of axons connected by gap junctions, where one gap junction is weak. The paper shows that in random networks of axons connected by gap junctions, oscillations are driven by single pacemaker loop of axons. The shortest loop, around which a spike can travel, is the most likely pacemaker. This principle allows us to predict the frequency of oscillations from network connectivity and visa versa. We propose that this type of oscillations corresponds to so-called fast ripples in epileptic hippocampus.
Reference:
1 .
Vladimirov N, Tu Y, Traub RD (2012) Shortest Loops are Pacemakers in Random Networks of Electrically Coupled Axons.
Front Comput Neurosci
6
:17
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Axon;
Brain Region(s)/Organism:
Hippocampus;
Cell Type(s):
Hippocampus CA1 pyramidal GLU cell;
Channel(s):
I Na,t;
I A;
I K;
I M;
I K,Ca;
I Calcium;
I Potassium;
Gap Junctions:
Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Model Concept(s):
Oscillations;
Axonal Action Potentials;
Epilepsy;
Conduction failure;
Implementer(s):
Vladimirov, Nikita ;
Search NeuronDB
for information about:
Hippocampus CA1 pyramidal GLU cell
;
I Na,t
;
I A
;
I K
;
I M
;
I K,Ca
;
I Calcium
;
I Potassium
;
/
VladimirovTuTraub2012
readme.html
bias.mod
*
Other models using bias.mod:
Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)
cad.mod
*
Other models using cad.mod:
A single column thalamocortical network model (Traub et al 2005)
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
cal.mod
*
Other models using cal.mod:
A single column thalamocortical network model (Traub et al 2005)
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
gap.mod
*
Other models using gap.mod:
Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)
ipulse1.mod
*
Other models using ipulse1.mod:
Linear vs non-linear integration in CA1 oblique dendrites (Gómez González et al. 2011)
Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)
ka.mod
*
Other models using ka.mod:
A single column thalamocortical network model (Traub et al 2005)
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
Neocort. pyramidal cells subthreshold somatic voltage controls spike propagation (Munro Kopell 2012)
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
kahp.mod
*
Other models using kahp.mod:
A single column thalamocortical network model (Traub et al 2005)
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
kc.mod
*
Other models using kc.mod:
A single column thalamocortical network model (Traub et al 2005)
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
kdr.mod
*
Other models using kdr.mod:
A single column thalamocortical network model (Traub et al 2005)
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
km.mod
*
Other models using km.mod:
A single column thalamocortical network model (Traub et al 2005)
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
naf.mod
*
Other models using naf.mod:
A single column thalamocortical network model (Traub et al 2005)
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
2cellsGUI.ses
cellTemplate.hoc
gapjunction.hoc
init_2cells.hoc
init_ring.hoc
mosinit.hoc
ringGUI.ses
screenshot1.jpg
screenshot2.jpg
screenshot3.jpg
File not selected
<- Select file from this column.
Load Model View
Loading data, please wait...