Cortical feedback alters visual response properties of dLGN relay cells (Martínez-Cañada et al 2018)

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Accession:239878
Network model that includes biophysically detailed, single-compartment and multicompartment neuron models of relay-cells and interneurons in the dLGN and a population of orientation-selective layer 6 simple cells, consisting of pyramidal cells (PY). We have considered two different arrangements of synaptic feedback from the ON and OFF zones in the visual cortex to the dLGN: phase-reversed (‘push-pull’) and phase-matched (‘push-push’), as well as different spatial extents of the corticothalamic projection pattern. This project is the result of a research work and its associated publication is: (Martínez-Cañada et al 2018). Installation instructions as well as the latest version can be found in the Github repository: https://github.com/CINPLA/biophysical_thalamocortical_system
Reference:
1 . Martínez-Cañada P, Mobarhan MH, Halnes G, Fyhn M, Morillas C, Pelayo F, Einevoll GT (2018) Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells. PLoS Comput Biol 14:e1005930 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Thalamus;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: LFPy; NEURON; NEST; Python;
Model Concept(s): Vision;
Implementer(s): Martínez-Cañada, Pablo [pablomc at ugr.es];
TITLE anomalous rectifier channel
:
: Anomalous Rectifier Ih - cation (Na/K) channel for geniculate interneurons
: Differential equations
:
: Written by Jun Zhu, Univ. Wisconsin, Jan 1996
: Modified by Geir Halnes, Norwegian University of Life Sciences, June 2011
: Fitted to data from mice dLGN interneurons.

INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}

NEURON {
THREADSAFE
	SUFFIX iar
	USEION other WRITE iother VALENCE 1
        RANGE ghbar,  iother
	GLOBAL h_inf, tauh, erev, stp,  shift
}


UNITS {
	(molar)	= (1/liter)
	(mM)	= (millimolar)
	(mA) 	= (milliamp)
	(mV) 	= (millivolt)
	(msM)	= (ms mM)
}


PARAMETER {
      v               (mV)
	erev	= -44	(mV)
	celsius = 36	(degC)
	ghbar	= 1.1e-5 (mho/cm2) : Set from hoc-file
	shift   =  0    (mV)

	: Kinetics fitted to new data from mice dLGN interneurons.
	: Halnes et al. 2011
      stp     = 10	
	a0 = 96
	a1 = 250
	a2 = 30.7
	a3 = 78.8
	a4 = 5.78
}


STATE {
        h
}


ASSIGNED {
	i	(mA/cm2)
	iother 	(mA/cm2)
	h_inf
	tauh	(ms)
	tadj
}


BREAKPOINT {
	SOLVE state METHOD cnexp
	iother = ghbar * h * (v - erev)
}

DERIVATIVE state  {
	evaluate_fct(v)
      h' = (h_inf - h) / tauh
}
UNITSOFF

INITIAL {
	evaluate_fct(v)
      h = h_inf
}


PROCEDURE evaluate_fct(v (mV)) {
	h_inf = 1 / ( 1 + exp((v+shift+a0)/stp) )
	tauh = exp((v+shift+a1)/a2) / ( 1 + exp((v+shift+a3)/a4))
}



UNITSON


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