Excitatory synaptic interactions in pyramidal neuron dendrites (Behabadi et al. 2012)

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Accession:151404
" ... We hypothesized that if two excitatory pathways bias their synaptic projections towards proximal vs. distal ends of the basal branches, the very different local spike thresholds and attenuation factors for inputs near and far from the soma might provide the basis for a classical-contextual functional asymmetry. Supporting this possibility, we found both in compartmental models and electrophysiological recordings in brain slices that the responses of basal dendrites to spatially separated inputs are indeed strongly asymmetric. ..."
Reference:
1 . Behabadi BF, Polsky A, Jadi M, Schiller J, Mel BW (2012) Location-dependent excitatory synaptic interactions in pyramidal neuron dendrites. PLoS Comput Biol 8:e1002599 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Synapse; Dendrite;
Brain Region(s)/Organism:
Cell Type(s): Neocortex L5/6 pyramidal GLU cell;
Channel(s): I Sodium; I Potassium;
Gap Junctions:
Receptor(s): AMPA; NMDA;
Gene(s):
Transmitter(s): Glutamate;
Simulation Environment: NEURON; Python;
Model Concept(s): Dendritic Action Potentials; Spatio-temporal Activity Patterns; Active Dendrites; Detailed Neuronal Models; Synaptic Integration;
Implementer(s): Behabadi, Bardia [bardiafb+mdb at gmail.com];
Search NeuronDB for information about:  Neocortex L5/6 pyramidal GLU cell; AMPA; NMDA; I Sodium; I Potassium; Glutamate;
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bfb-etal-2012
hoc
mods
py
scripts
Readme.html
runall.sh
screenshot.jpg
                            
#!/bin/bash

case $1 in
    # cleanup environment to start fresh
    --cleanup)
        rm -f figs/Figure*.png
        rm -f data/*.h5
        rm -f -r mods/{i686,x86_64,powerpc,umac}
        exit
    ;;
    *)
esac

makeoutputdirs() {
mkdir -p data figs
}

makedll() {
cd mods
nrnivmodl
cd ..
}

generate_data() { # ~6 minutes
export NRN_NMODL_PATH=${PWD}/mods
export HOC_LIBRARY_PATH=${PWD}/hoc
scripts/make_data.sh
}

generate_plots() {
py/make_figures.py
}

makeoutputdirs
makedll
generate_data
generate_plots

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