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

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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.
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;
Simulation Environment: NEURON;
Model Concept(s): Detailed Neuronal Models; Connectivity matrix; Laminar Connectivity;
Implementer(s): Bezaire, Marianne [mariannejcase at];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; GabaA; Glutamate; I Sodium; I Calcium; I Potassium;
// This file sets the default values of parameters
//  in such a way that they can be overridden using
//  certain options at the command line
default_var("RunName","none")		// Name of simulation run
default_var("UID","0")		// Unique ID for this simulation run
default_var("Stimulation","spontaneous")		// Filename of the stimulation protocol used to stimulate the network
default_var("Connectivity","try_all_repeatstim")		// Filename of the connection protocol used to connect the cells of the network
default_var("Scale",1)		// Network scale (1:Scale)
default_var("SimDuration",5000)		// Duration of time simulated, in milliseconds
default_var("RandomSeeds",1500000)		// Method used to assign seeds to random processors
default_var("Positioning","")		// Algorithm used to position the cells
default_var("PrintVoltage",1)		// Flag for recording and printing intracellular voltage traces for select cells
default_var("PrintTerminal",1)		// Level of printouts to screen (affects run time) 0: minimal, 1: some, 2: max printouts
default_var("PrintConnDetails",0)		// Flag for printing the detailed connection matrix
default_var("PrintCellPositions",1)		// Flag for printing the cell positions
default_var("PrintConnSummary",1)		// Flag for printing the summary connection matrix
default_var("TransverseLength",1000)		// Length of the network subfield in the transverse direction in microns
default_var("LongitudinalLength",6000)		// Length of the network subfield in the longitudinal direction in microns
default_var("LayerHeights","4;100;50;200;100;")		// Vector of heights of each network subfield layer in microns (from basal to molecular layer)
default_var("SpatialResolution",100)		// Spatial discretization method or resolution
default_var("ConnData",193)		// Number of the connection dataset to use
default_var("SynData",116)		// Number of the synapse kinetics dataset that was used to prepare the cell definition files
default_var("NumData",109)		// Number of the cells dataset to use
default_var("TemporalResolution",0.05)		// Temporal resolution of the simulation (in ms)
default_var("NumTraces",40)		// The maximum number of cells to record intracellularly, for each cell type
default_var("FracTraces",100)		// The percent of cells to record intracellularly, for each cell type
default_var("DegreeStim",1.81)		// Degree of stimulation; meaning depends on Stimulation type
default_var("Onint",0.215)		// Duration of burst (in ms) when burst stimulation is used
default_var("Offint",0.125)		// Duration of rest interval between bursts (in ms) when burst stimulation is used
default_var("PercentCellDeath",0)		// Percent of cells that are killed (removed), for cell types flagged for cell death
default_var("PercentAxonSprouting",0)		// Probability of connection between granule cells, given as a percent of connections to make out of all possible granule cell connections
default_var("RipStim",0.38)		// Degree of ripple CA3 stimulation; Higher=more
default_var("CatFlag",0)		// Whether to concatenate and remove trace connection files
default_var("JobNumber",0)		// Job number assigned by supercomputer
default_var("TopProc","nrniv")	// NEURON process name
default_var("RandomSeedsConn",1500000)		// Starting highIndex used by connectivity streams
default_var("RandomSeedsStim",1500000)		// Starting highIndex used by stimulation streams
default_var("AxConVel",0)		// Axonal conduction velocity, leave at 0 for a the distance-independent, constant value
default_var("StepBy",100)		// Every StepBy ms into the simulation, check the remaining time and print a status line
default_var("JobHours",12)		// How many hours we gave the job to run (for supercomputing jobs)
default_var("EstWriteTime",660)		// How much real time we expect the computer to require for writing results