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
Influence of dendritic structure on neocortical neuron firing patterns (Mainen and Sejnowski 1996)
 
Download zip file
Help downloading and running models
Model Information
Model File
Citations
Model Views
Simulation Platform
Versions on GitHub
Accession:
2488
This package contains compartmental models of four reconstructed neocortical neurons (layer 3 Aspiny, layer 4 Stellate, layer 3 and layer 5 Pyramidal neurons) with active dendritic currents using NEURON. Running this simulation demonstrates that an entire spectrum of firing patterns can be reproduced in this set of model neurons which share a common distribution of ion channels and differ only in their dendritic geometry. The reference paper is: Z. F. Mainen and T. J. Sejnowski (1996) Influence of dendritic structure on firing pattern in model neocortical neurons. Nature 382: 363-366. See also http://www.cnl.salk.edu/~zach/methods.html and http://www.cnl.salk.edu/~zach/ More info in readme.txt file below made visible by clicking on the patdemo folder and then on the readme.txt file.
Reference:
1 .
Mainen ZF, Sejnowski TJ (1996) Influence of dendritic structure on firing pattern in model neocortical neurons.
Nature
382
:363-6
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s):
Neocortex L5/6 pyramidal GLU cell;
Neocortex L2/3 pyramidal GLU cell;
Myelinated neuron;
Neocortex spiny stellate cell;
Channel(s):
I Na,t;
I K;
I M;
I K,Ca;
I Sodium;
I Calcium;
I Potassium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Model Concept(s):
Activity Patterns;
Active Dendrites;
Influence of Dendritic Geometry;
Detailed Neuronal Models;
Implementer(s):
Mainen, Zach [Mainen at cshl.edu];
Search NeuronDB
for information about:
Neocortex L5/6 pyramidal GLU cell
;
Neocortex L2/3 pyramidal GLU cell
;
I Na,t
;
I K
;
I M
;
I K,Ca
;
I Sodium
;
I Calcium
;
I Potassium
;
/
cells
cells
README.txt
ca.mod
*
Other models using ca.mod:
AP back-prop. explains threshold variability and rapid rise (McCormick et al. 2007, Yu et al. 2008)
cad.mod
*
Other models using cad.mod:
Dendro-dendritic synaptic circuit (Shepherd Brayton 1979)
kca.mod
*
Other models using kca.mod:
Dendro-dendritic synaptic circuit (Shepherd Brayton 1979)
km.mod
*
Other models using km.mod:
AP back-prop. explains threshold variability and rapid rise (McCormick et al. 2007, Yu et al. 2008)
kv.mod
*
Other models using kv.mod:
AP back-prop. explains threshold variability and rapid rise (McCormick et al. 2007, Yu et al. 2008)
Human L2/3 pyramidal cells with low Cm values (Eyal et al. 2016)
NMDA receptors enhance the fidelity of synaptic integration (Li and Gulledge 2021)
NMDA receptors enhance the fidelity of synaptic integration (Li and Gulledge 2021)
NMDA receptors enhance the fidelity of synaptic integration (Li and Gulledge 2021)
NMDA receptors enhance the fidelity of synaptic integration (Li and Gulledge 2021)
na.mod
*
Other models using na.mod:
AP back-prop. explains threshold variability and rapid rise (McCormick et al. 2007, Yu et al. 2008)
Human L2/3 pyramidal cells with low Cm values (Eyal et al. 2016)
NMDA receptors enhance the fidelity of synaptic integration (Li and Gulledge 2021)
.hg_archival.txt
demofig1.hoc
demofig2.hoc
initfig2.hoc
mosinit.hoc
File not selected
<- Select file from this column.
Load Model Views
1a. L3 Aspiny
1b. L4 Stellate
1c. L3 Pyramid
1d. L5 Pyramid
2
Loading data, please wait...