Parvalbumin-positive basket cells differentiate among hippocampal pyramidal cells (Lee et al. 2014)

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Accession:153280
This detailed microcircuit model explores the network level effects of sublayer specific connectivity in the mouse CA1. The differences in strengths and numbers of synapses between PV+ basket cells and either superficial sublayer or deep sublayer pyramidal cells enables a routing of inhibition from superficial to deep pyramidal cells. At the network level of this model, the effects become quite prominent when one compares the effect on firing rates when either the deep or superficial pyramidal cells receive a selective increase in excitation.
Reference:
1 . Lee SH, Marchionni I, Bezaire M, Varga C, Danielson N, Lovett-Barron M, Losonczy A, Soltesz I (2014) Parvalbumin-positive basket cells differentiate among hippocampal pyramidal cells. Neuron 82:1129-44 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s): Hippocampus CA1 pyramidal GLU cell; Hippocampus CA1 basket cell;
Channel(s): I Sodium; I Calcium; I Potassium;
Gap Junctions:
Receptor(s): GabaA; Glutamate;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Detailed Neuronal Models; Connectivity matrix; Laminar Connectivity;
Implementer(s): Bezaire, Marianne [mariannejcase at gmail.com];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; GabaA; Glutamate; I Sodium; I Calcium; I Potassium;
proc posout() {local pci, pcti, rank, gid, srcid localobj tgt, f, cell	// Write out the 3d position coordinates of each cell
	pc.barrier()					// Wait for all ranks to get to this point
	sprint(cmd,"./results/%s/position.dat", RunName)
	f = new File(cmd)
	if (pc.id == 0) { 				// Write header to file 1 time only
		f.wopen()
		f.printf("cell\tx\ty\tz\thost\n")
		f.close()
	}
	for rank = 0, pc.nhost-1 {				// For each processor, allow processor to append to file the positions of its cells
		if (rank == pc.id) {				// Ensure that each processor runs once
			f.aopen() 						// Open for appending to file
			for pcitr(&pci, &pcti, &gid, cellType[0].cellStartGid, cellType[numCellTypes-1].cellEndGid) {		// Use the pciter over all non ppStim cells
				if (pc.gid_exists(gid)) {	// If cell exists on this machine
					cell = pc.gid2cell(gid)	// Refer to cell
					if (cell.is_art()==0) {
						f.printf("%d\t%d\t%d\t%d\t%d\n", gid, cell.x, cell.y, cell.z, pc.id)
					} else {
						f.printf("%d\t%d\t%d\t%d\t%d\n", gid, cell.xpos, cell.ypos, cell.zpos, pc.id)
					}
				}
			}		
			f.close()
		}
		pc.barrier()
	}
}