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 decay of internal calcium concentration
:
: Simple extrusion mechanism for internal calium dynamics
:
: Written by Alain Destexhe, Salk Institute, Nov 12, 1992
: Modified by Geir Halnes, Norwegian Life Science University of Life Sciences, June 2011


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

NEURON {
	SUFFIX Cad
	USEION Ca READ iCa, Cai WRITE Cai VALENCE 2
	RANGE Cainf,taur,k
}

UNITS {
	(molar) = (1/liter)			: moles do not appear in units
	(mM)	= (millimolar)
	(um)	= (micron)
	(mA)	= (milliamp)
	(msM)	= (ms mM)
}


PARAMETER {
	depth	= .1(um)		: depth of shell
	taur	= 50	(ms)		: Zhu et al. used 2 decay terms w/ taus 80ms and 150ms. 1 term 50 ms gives similar decay. 
	Cainf	= 5e-5	(mM)  : Basal Ca-level
	Cainit  = 5e-5 (mM)	: Initial Ca-level
      k       = 0.0155458135   (mmol/C cm)  : Phenomenological constant, estimated to give reasonable intracellular calcium concentration
}


STATE {
	Cai		(mM) <1e-8> : to have tolerance of .01nM
}


INITIAL {
	Cai = Cainit
}


ASSIGNED {
	iCa		(mA/cm2)
	drive_channel	(mM/ms)
	drive_pump	(mM/ms)
}

	
BREAKPOINT {
	SOLVE state METHOD cnexp
}

DERIVATIVE state { 
	drive_channel =  - k * iCa
	if (drive_channel<=0.) { drive_channel = 0. }: cannot pump inward
	Cai' = drive_channel +(Cainf-Cai)/taur
}

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