Fronto-parietal visuospatial WM model with HH cells (Edin et al 2007)

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Accession:98017
1) J Cogn Neurosci: 3 structural mechanisms that had been hypothesized to underlie vsWM development during childhood were evaluated by simulating the model and comparing results to fMRI. It was concluded that inter-regional synaptic connection strength cause vsWM development. 2) J Integr Neurosci: Given the importance of fronto-parietal connections, we tested whether connection asymmetry affected resistance to distraction. We drew the conclusion that stronger frontal connections are beneficial. By comparing model results to EEG, we concluded that the brain indeed has stronger frontal-to-parietal connections than vice versa.
References:
1 . Edin F, Macoveanu J, Olesen P, Tegnér J, Klingberg T (2007) Stronger synaptic connectivity as a mechanism behind development of working memory-related brain activity during childhood. J Cogn Neurosci 19:750-60 [PubMed]
2 . Edin F, Klingberg T, Stödberg T, Tegnér J (2007) Fronto-parietal connection asymmetry regulates working memory distractibility. J Integr Neurosci 6:567-96 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell; Abstract Wang-Buzsaki neuron;
Channel(s):
Gap Junctions: Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Working memory; Attractor Neural Network;
Implementer(s):
Search NeuronDB for information about:  Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell;
COMMENT
An adapting potassium current

Author: Fredrik Edin, 2003
Address: freedin@nada.kth.se

ENDCOMMENT

NEURON {
	SUFFIX IKa
	USEION k WRITE ik
	RANGE gk, ik, gkbar
	GLOBAL ainf, taua, binf, taub, ek
}

UNITS {
	(mV) = (millivolt)
	(mA) = (milliampere)
}

PARAMETER {
	gkbar 	= 0.001	(mho/cm2)	<0,1e9>
	ek 	= -80	(mV)
}

ASSIGNED {
	v	(mV)
	gk	(mho/cm2)
	ik	(mA/cm2)
	ainf
	taua	(ms)
	binf
	taub	(ms)	
}

STATE {
	a
	b
}

BREAKPOINT {
	SOLVE state METHOD cnexp
	gk = gkbar * a^4 * b 
	ik = gk * ( v - ek )
}

DERIVATIVE state {
	rates( v )
	a' = ( ainf - a ) / taua
	b' = ( binf - b ) / taub
}


PROCEDURE rates( v (mV) ) {

	TABLE ainf, binf, taua, taub FROM -100 TO 100 WITH 200
	UNITSOFF
	ainf = 1 / ( 1 + exp( -(60 + v)/8.5 ) )
	taua = 0.37 + 1 / ( exp(-(v+238)/37.5) + exp((v+46)/5) ) 

	binf = 1 / ( 1 + exp((78 + v)/6 ) )	
	taub = 19 + 1 / ( exp(-(v+238)/37.5) + exp((v+46)/5) ) 
	UNITSON
} 

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