| L5b PC model constrained for BAC firing and perisomatic current step firing (Hay et al., 2011) |
| Accession: 139653 |
"...
L5b pyramidal cells have been the subject of extensive experimental and modeling studies, yet conductance-based models of these cells that faithfully reproduce both their perisomatic Na+-spiking behavior as well as key dendritic active properties, including Ca2+ spikes and back-propagating action potentials, are still lacking.
Based on a large body of experimental recordings from both the soma and dendrites of L5b pyramidal cells in adult rats, we characterized key features of the somatic and dendritic firing and quantified their statistics.
We used these features to constrain the density of a set of ion channels over the soma and dendritic surface via multi-objective optimization with an evolutionary algorithm, thus generating a set of detailed conductance-based models that faithfully replicate the back-propagating action potential activated Ca2+ spike firing and the perisomatic firing response to current steps, as well as the experimental variability of the properties.
...
The models we present provide several experimentally-testable predictions and can serve as a powerful tool for theoretical investigations of the contribution of single-cell dynamics to network activity and its computational capabilities.
" Reference: Hay E, Hill S, Schurmann F, Markram H, Segev I (2011) Models of neocortical layer 5b pyramidal cells capturing a wide range of dendritic and perisomatic active properties. PLoS Comput Biol 7:e1002107 [PubMed] |
| Citations Citation Browser
|
Model Information (Click on a link to
find other models with that property)
|
| Search NeuronDB for information about: Neocortical pyramidal neuron: deep; I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I K,leak; I M; I h; I K,Ca; I Calcium; I A, slow; |
|
|
|
|
Author: Etay Hay, 2011
Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of
Dendritic and Perisomatic Active Properties
(Hay et al., PLoS Computational Biology, 2011)
NEURON models and model sets corresponding to the paper:
Demo: Either auto-launch from ModelDB or download and extract the
archive and compile the mod files (with mknrndll (mswin and mac, or
nrnivmodl (linux/unix)) and then start the simulation by the file
init.hoc.
Once the simulation is started select a button to re-create parts of
Figure 4 from the paper. Clicking on the Fig. 4A should create an
image like:
Likewise the Fig 4B, Fig 5A buttons should create images like these:
Additional information:
folder: models
==============
NEURON code models, shown in various figures
L5PCbiophys1 - figure 1 (constrained only for BAC firing)
L5PCbiophys2 - figure 2 (constrained only for current step firing)
L5PCbiophys3 - figure 4 (constrained both for BAC and current step firing)
L5PCbiophys4 - figure S5 (AP initiation at the axon)
L5PCtemplate - general cell template
folder: simulation code
=======================
simulation code for BAC firing or step current firing.
folder: model sets
==================
model sets corresponding to various figures.
models_errors file: error values matrix (rows: models; columns:
objectives)
models_parameters file: parameter values matrix (rows: models;
columns: parameters) objetives file: objective names, each
corresponding to a column in models_errors file
genome file: parameter names and search limits, each corresponding to
a column in the models_parameters file
folder: mechanisms
==================
mod files of the conductance mechanisms used.
folder: morphologies
====================
The three morphologies used in the paper.
20130226 added critical_frequency.hoc to simulationcode folder
20130330 critical_frequency.hoc file updated with a comment regarding
a difference between 32 and 64 bit NEURON environments.
| |