Find models by
Find models for
Find models of
Electrical synapses (gap junctions)
SenseLab mailing list
ModelDB related resources
Computational neuroscience ecosystem
Models in a git repository
Impact of dendritic size and topology on pyramidal cell burst firing (van Elburg and van Ooyen 2010)
Download zip file
Help downloading and running models
Versions on GitHub
The code provided here was written to systematically investigate which of the physical parameters controlled by dendritic morphology underlies the differences in spiking behaviour observed in different realizations of the 'ping-pong'-model. Structurally varying dendritic topology and length in a simplified model allows us to separate out the physical parameters derived from morphology underlying burst firing. To perform the parameter scans we created a new NEURON tool the MultipleRunControl which can be used to easily set up a parameter scan and write the simulation results to file. Using this code we found that not input conductance but the arrival time of the return current, as measured provisionally by the average electrotonic path length, determines whether the pyramidal cell (with ping-pong model dynamics) will burst or fire single spikes.
van Elburg RA, van Ooyen A (2010) Impact of dendritic size and dendritic topology on burst firing in pyramidal cells.
PLoS Comput Biol
(Click on a link to find other models with that property)
Neuron or other electrically excitable cell;
Neocortex V1 L6 pyramidal corticothalamic cell;
Spatio-temporal Activity Patterns;
Influence of Dendritic Geometry;
Detailed Neuronal Models;
van Elburg, Ronald A.J. [R.van.Elburg at ai.rug.nl];
for information about:
Neocortex V1 L6 pyramidal corticothalamic cell
File not selected
<- Select file from this column.
Loading data, please wait...