CA1 pyramidal neuron synaptic integration (Bloss et al. 2016)

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Accession:187610
"... We examined synaptic connectivity between molecularly defined inhibitory interneurons and CA1 pyramidal cell dendrites using correlative light-electron microscopy and large-volume array tomography. We show that interneurons can be highly selective in their connectivity to specific dendritic branch types and, furthermore, exhibit precisely targeted connectivity to the origin or end of individual branches. Computational simulations indicate that the observed subcellular targeting enables control over the nonlinear integration of synaptic input or the initiation and backpropagation of action potentials in a branchselective manner. Our results demonstrate that connectivity between interneurons and pyramidal cell dendrites is more precise and spatially segregated than previously appreciated, which may be a critical determinant of how inhibition shapes dendritic computation."
Reference:
1 . Bloss EB, Cembrowski MS, Karsh B, Colonell J, Fetter RD, Spruston N (2016) Structured Dendritic Inhibition Supports Branch-Selective Integration in CA1 Pyramidal Cells. Neuron 89:1016-30 [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 Na,t; I K;
Gap Junctions:
Receptor(s): AMPA; NMDA; Gaba;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Synaptic Integration;
Implementer(s): Cembrowski, Mark S [cembrowskim at janelia.hhmi.org];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; AMPA; NMDA; Gaba; I Na,t; I K;
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arrayTomography
README.txt
dists.mod *
eff.mod *
exc.mod
id.mod *
inh.mod
kad.mod *
kap.mod *
kdr.mod *
na3.mod *
nmdaSyn.mod
syns.mod *
activateExcitation.hoc
activateInhibition.hoc
addChannels.hoc *
addExcitation.hoc
addVgatInhibition.hoc
channelParameters.hoc *
flagVgatInhibition.hoc
getBranchOrder.hoc *
idMorph.hoc
inhibitionBiophysics.hoc
initializationAndRun.hoc *
loadMorph.hoc *
mosinit.hoc *
naceaxon.nrn *
processMorph.hoc *
proofreadMorph.hoc *
resetNSeg.hoc *
start.hoc
synHelperScripts.hoc
twinApical.swc *
                            
////////////////////////////////////////////////////////////////////////////////
//
// Mark Cembrowski
// Janelia Research Campus
// Jan 11, 2016
//
// Correspondence: cembrowskim@janelia.hhmi.org
//
// The following scripts are designed to allow easy simulation of both
// inhibition and excitation onto a model CA1 PC, with the spatial distribution 
// of inputs reflecting subcellular, cell-type-specific distributions of 
// inhibition as determined by array tomography.
//
////////////////////////////////////////////////////////////////////////////////

// LOAD GUI.
{
	load_file("nrngui.hoc")
}

// LOAD MORPHOLOGY.
{
	load_file("loadMorph.hoc")
	load_file("resetNSeg.hoc")
}

// ADJUST MORPHOLOGY AND ANNOTATION.
{
	load_file("proofreadMorph.hoc") // proofread at-derived morph
	load_file("idMorph.hoc") // create section lists for gross compartments
	load_file("processMorph.hoc") // annotate how NEURON recognises sections
}

// IMPLEMENT INTRINSIC CHANNELS.
{
	load_file("addChannels.hoc")
}

// ADJUST NUMERICAL ASPECTS OF SIMULATION.
{
	load_file("initializationAndRun.hoc")
} 

// PLACE ALL INHIBITORY SYNAPSES (ie, all VGAT+ SYNAPSES) AND THEN ASSIGN THEM
// AS OTHER GENOTYPES (SST, PV) AS DETERMINED BY ARRAY TOMOGRAPHY 
// DISTRIBUTIONS.
{
	load_file("addVgatInhibition.hoc")
	load_file("synHelperScripts.hoc") // scripts retrieving synapse information
	load_file("flagVgatInhibition.hoc")
	load_file("inhibitionBiophysics.hoc") // assign inhibition properties
}				

// PLACE ALL EXCITATORY SYNAPSES.
{
	load_file("addExcitation.hoc")
}

// PROVIDE SCRIPTS THAT ALLOW FOR EASY MANIPULATION OF EXCITATION AND
// INHIBITION.
{
	load_file("activateInhibition.hoc") // fxn toggling inhibition activation
	load_file("activateExcitation.hoc") // fxn toggling excitation activation
}

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