Modeling conductivity profiles in the deep neocortical pyramidal neuron (Wang K et al. 2013)


Help downloading and running models
Accession:149737
"With the rapid increase in the number of technologies aimed at observing electric activity inside the brain, scientists have felt the urge to create proper links between intracellular- and extracellular-based experimental approaches. Biophysical models at both physical scales have been formalized under assumptions that impede the creation of such links. In this work, we address this issue by proposing amulticompartment model that allows the introduction of complex extracellular and intracellular resistivity profiles. This model accounts for the geometrical and electrotonic properties of any type of neuron through the combination of four devices: the integrator, the propagator, the 3D connector, and the collector. ..."
Reference:
1 . Wang K, Riera J, Enjieu-Kadji H, Kawashima R (2013) The Role of Extracellular Conductivity Profiles in Compartmental Models for Neurons: Particulars for Layer 5 Pyramidal Cells Neural Comput 25(7):1807-52 [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 V1 pyramidal corticothalamic L6 cell;
Channel(s): I Na,t; I K; I h; I_Ks;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON (web link to model); MATLAB (web link to model);
Model Concept(s): Dendritic Action Potentials; Influence of Dendritic Geometry; Extracellular Fields; Evoked LFP; Conductance distributions;
Implementer(s):
Search NeuronDB for information about:  Neocortex V1 pyramidal corticothalamic L6 cell; I Na,t; I K; I h; I_Ks;
(located via links below)
Loading data, please wait...