Cortical pyramidal neuron, phase response curve (Stiefel et al 2009)

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Accession:144372
Three models of increasing complexity all showing a switch from type II (biphasic) to type I (monophasic) phase response curves with a cholinergic down-modulation of K+ conductances.
Reference:
1 . Stiefel KM, Gutkin BS, Sejnowski TJ (2009) The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons. J Comput Neurosci 26:289-301 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s): Neocortex L2/3 pyramidal GLU cell;
Channel(s): I Na,p; I Na,t; I M;
Gap Junctions:
Receptor(s): Muscarinic;
Gene(s):
Transmitter(s): Acetylcholine;
Simulation Environment: NEURON;
Model Concept(s): Action Potentials;
Implementer(s): Stiefel, Klaus [stiefel at salk.edu];
Search NeuronDB for information about:  Neocortex L2/3 pyramidal GLU cell; Muscarinic; I Na,p; I Na,t; I M; Acetylcholine;
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StiefelEtAl2009
README.txt
ca.mod *
cacum.mod
cad.mod *
H.mod
iahp2.mod *
il.mod *
im.mod *
KA.mod
kca.mod *
Kdr.mod
km.mod *
Ks.mod
kv.mod *
Na.mod *
NaP.mod
cell.ses
displayshape.hoc
fig4A.hoc
fig4A_new.hoc
fig5A.hoc
fig5B.hoc
fig5C.hoc
gui.hoc
j8.hoc *
ksprc.ses
makeIF.hoc
multi.hoc
PRC.hoc
PRCsweep.hoc
PY-golomb_original.hoc
PY-golomb_plus.hoc
PY-golomb_simple.hoc
PyMainen.hoc
single.hoc
single_plus.hoc
single1.ses
surface.hoc
synproxy_cch.hoc
synproxy_sweeps.hoc
                            
// Single compartment neuron in NEURON
// K.Stiefel, Salk, 2004

// NEURON standard files, soma

load_file("stdgui.hoc")
load_file("nrngui.hoc")

nrnmainmenu()

load_file("PY-golomb_simple.hoc")

objref spikesin, input, spikesout, nix
objref spikesouttimes, synapse, Iinject

soma synapse = new ExpSyn(.5)
synapse.tau=0.05

soma Iinject = new IClamp(.5)
Iinject.dur = 10000
Iinject.amp = 0.1

input = new NetStim(.5)
input.number=1
input.start=50

soma spikesin = new NetCon(input, synapse, 0.5, 0, .1 ) // Input spike train

soma spikesout = new NetCon(&v(.5), nix, 0, 0, 0)// Output spike train
spikesouttimes = new Vector()
spikesout.record(spikesouttimes)

load_file("single1.ses")// display

// comment out from here on
// to get the theta neuron only 
// without PRC determination
// -----------------------------

load_file("makeIF.hoc") // current vs firing rate curve
load_file("PRC.hoc") // determine phase reset curves
// load_file("PRCsweep.hoc") // Sweep over parameters and determine PRC 
// load_file("demo.hoc") // Demonstration

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