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Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Accession: 114637
"Simple cells in layer 4 of the primary visual cortex of the cat show contrast-invariant orientation tuning, in which the amplitude of the peak response is proportional to the stimulus contrast but the width of the tuning curve hardly changes with contrast. This study uses a detailed model of spiny stellate cells (SSCs) from cat area 17 to explain this property. The model integrates our experimental data, including morphological and intrinsic membrane properties and the number and spatial distribution of four major synaptic input sources of the SSC: the dorsal lateral geniculate nucleus (dLGN) and three cortical sources. ... The model response is in close agreement with experimental results, in terms of both output spikes and membrane voltage (amplitude and fluctuations), with reasonable exceptions given that recurrent connections were not incorporated."
References:
1. Banitt Y, Martin KA, Segev I (2007) A biologically realistic model of contrast invariant orientation tuning by thalamocortical synaptic depression. J Neurosci 27:10230-9 [PubMed]
2. Anderson JC, Douglas RJ, Martin KA, Nelson JC (1994) Map of the synapses formed with the dendrites of spiny stellate neurons of cat visual cortex. J Comp Neurol 341:25-38 [PubMed]
3. Anderson JC, Douglas RJ, Martin KA, Nelson JC (1994) Synaptic output of physiologically identified spiny stellate neurons in cat visual cortex. J Comp Neurol 341:16-24 [PubMed]
4. Banitt Y, Martin KA, Segev I (2005) Depressed responses of facilitatory synapses. J Neurophysiol 94:865-70 [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;
Brain Region(s)/Organism:  
Cell Type(s):   Spiny stellate cell;
Channel(s):  I Na,t; I A; I K; I K,Ca; I Calcium;  
Gap Junctions:  
Receptor(s):  
Gene(s):  
Transmitter(s):  
Simulation Environment:  Neuron;
Model Concept(s):  Pattern Recognition; Activity Patterns; Parameter Fitting; Active Dendrites; Synaptic Integration;
Implementer(s):  
Search NeuronDB for information about:  I Na,t; I A; I K; I K,Ca; I Calcium;
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SSC_model
ReadMe.html
ReadMe_orig
iap.mod
ic.mod
ical.mod
iA.mod
VectorSynNS.mod
InitSynapses.hoc
j3886d_sdt.hoc
MeasureDist.hoc
mosinit.hoc
axon.hoc
InitArrays.hoc
ssc.hoc
InitSSCArrays.hoc
sscDistCl2
sscDistCl3
sscDistCl4
sscProxCl1
sscProxCl2
sscProxCl3
sscProxCl4
sscSomaCl1
sscSomaCl2
sscSomaCl3
sscSomaCl4
sscDistCl1
                            

20130329: Note from the ModelDB administrator:

This model used to be supplied by the far below link to the ybanitt web site which is broken. The model is now made available in this archive which is a copy of the original model with some modifications including this ReadMe. The ReadMe file in the original code identifies ssc.hoc as the main file.

Michael Hines suggested an edit which has been incorporated here that makes the old code compatible with the most recent version of neuron: in iA.mod a tadj calculation was moved out of the INITIAL block to below the TABLE statement in PROCEDURE mhn(v). Michael explains the reasoning:

"The underlying behavior change is that threads demand that tables be computed before the call to INITIAL. At that time, of course, tadj=0 hence a divide by 0 and a cascade of other things. I regret that change from old implementation dependent behavior ... The underlying issue is that multiple threads are calling INITIAL and it is generally a bad idea in that situation to assign a value to a global variable.

The catch 22 is that if you turn off the table( usetable_iA = 0) then the calculation of tadj is fairly expensive."

Index of /~ybanitt/SSC_model

Icon  Name                    Last modified      Size  Description
[DIR] Parent Directory - [   ] SSC_model.tar.gz 04-Dec-2006 11:19 37K
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