Dendritic Discrimination of Temporal Input Sequences (Branco et al. 2010)

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Accession:140828
Compartmental model of a layer 2/3 pyramidal cell in the rat somatosensory cortex, exploring NMDA-dependent sensitivity to the temporal sequence of synaptic activation.
Reference:
1 . Branco T, Clark BA, Häusser M (2010) Dendritic discrimination of temporal input sequences in cortical neurons. Science 329:1671-5 [PubMed]
2 . Branco T, Häusser M (2011) Synaptic integration gradients in single cortical pyramidal cell dendrites. Neuron 69:885-92 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Dendrite;
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex L2/3 pyramidal GLU cell;
Channel(s):
Gap Junctions:
Receptor(s): NMDA;
Gene(s):
Transmitter(s): Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Spatio-temporal Activity Patterns; Synaptic Integration; Direction Selectivity;
Implementer(s):
Search NeuronDB for information about:  Neocortex L2/3 pyramidal GLU cell; NMDA; Glutamate;
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Branco_2010
mod.files
ar.mod
ca.mod *
cad.mod *
caL3d.mod *
CaT.mod *
h.mod *
HH2.mod *
inwardrect.mod
kca.mod *
kir.mod *
km.mod *
kv.mod *
na.mod *
NMDA_Mg_T.mod *
release_BMK.mod *
                            
TITLE anomalous (inward) rectifying membrane

COMMENT
	Phenomenological model of a anomalous rectifying membrane using 
	a quadratic approximation of the subthreshold VI-relationship.
	
	Implemented by Fritjof Helmchen, MPI for Medical Research, Heidelberg
	Dec. 2004

ENDCOMMENT

UNITS {
         (mV) = (millivolt)
         (mA) = (milliamp)
	   (S)  = (siemens)
}

INDEPENDENT {v FROM -100 TO 50 WITH 50 (mV)}

NEURON {
         SUFFIX ar
         NONSPECIFIC_CURRENT i
         RANGE g, e, c
}

PARAMETER {
         g0 = .0001      (S/cm2)       <0,1e9>
         e = -75 	  	 (mV)
         c = 1000000 	 (cm4 ohm2/mV)
}
  
ASSIGNED { i (mA/cm2) g (S/cm2) }

BREAKPOINT {
	if (c==0) {
		g = g0
		i = g0*(v-e)
	} else {
		g = 1/sqrt(1/g0^2+4*c*(v-e)) 
		i = ( -1/g0 + 1/g)/(2*c)
	}
}