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.
Reference:
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]
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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
 A gap junction connecting two compartments.
 1: Create one gapJ object in each of the compartments which 
    are to be connected.
 2: Connect the two with the command
    setpointer gJ1.vgap, c2.comp2.v( 0.5 )
    setpointer gJ2.vgap, c1.comp1.v( 0.5 )
    where gJ1 is the gapJ object in compartment comp1 in cell c1, and
    gJ2 is the gapJ object in compartment comp2 in cell c2
 3: Set gJ1.g = gJ2.g = g0

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

ENDCOMMENT

NEURON {
	POINT_PROCESS gapJ
	NONSPECIFIC_CURRENT i
	RANGE g, i
	POINTER vgap
}

PARAMETER {
	g	(umho)
}

ASSIGNED {
	i 	(milliamp)
	v 	(millivolt)
	vgap 	(millivolt)
}

BREAKPOINT {
	i = g*(v - vgap)
}