Signal integration in a CA1 pyramidal cell (Graham 2001)

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Accession:19746
This model investigates signal integration in the dendritic tree of a hippocampal CA1 pyramidal cell when different combinations of active channels are present in the tree (Graham, 2001)
Reference:
1 . Graham BP (2001) Pattern recognition in a compartmental model of a CA1 pyramidal neuron. Network 12:473-92 [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): Hippocampus CA1 pyramidal GLU cell;
Channel(s): I Potassium;
Gap Junctions:
Receptor(s): AMPA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Active Dendrites;
Implementer(s): Graham, Bruce [B.Graham at cs.stir.ac.uk];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; AMPA; I Potassium;
/* Create section lists for dendritic sections
   in particular CA1 layers.
   Particular lists for Major's cell.
   BPG 24-10-97
*/

objectvar layer_SO, layer_SR, layer_SLM
// allsec removed from above objectvar declaration
// All sections (including soma)
// allsec = new SectionList()
// forall allsec.append()
// above two lines commented out and removal of allsec from objectvar
// by ModelDB admin to remove references to allsec which is defined in
// NEURON with python.

// Sections in stratum oriens (basal dendrites)
layer_SO = new SectionList()
for (i = 1; i <= 55; i = i + 1) basal[i] layer_SO.append()

// Sections in stratum radiatum (proximal apical dendrites)
// (BPG 26-3-98: excluding apical[1])
layer_SR = new SectionList()
for (i = 2; i <= 41; i = i + 1) apical[i] layer_SR.append()
for (i = 45; i <= 49; i = i + 1) apical[i] layer_SR.append()
for (i = 60; i <= 94; i = i + 1) apical[i] layer_SR.append()
for (i = 108; i <= 135; i = i + 1) apical[i] layer_SR.append()

// Sections in stratum lacunosum-moleculare (distal apical dendrites)
layer_SLM = new SectionList()
for (i = 42; i <= 44; i = i + 1) apical[i] layer_SLM.append()
for (i = 50; i <= 59; i = i + 1) apical[i] layer_SLM.append()
for (i = 95; i <= 107; i = i + 1) apical[i] layer_SLM.append()

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