Advanced search
SenseLab
SimToolDB
ModelDB Help
User account
Login
Register
Find models by
Model name
First author
Each author
Region(circuits)
Find models for
Cell type
Current
Receptor
Gene
Transmitters
Concept
Simulators
Methods
Find models of
Realistic Networks
Neurons
Electrical synapses (gap junctions)
Chemical synapses
Ion channels
Neuromuscular junctions
Axons
Pathophysiology
Other resources
SenseLab mailing list
ModelDB related resources
Computational neuroscience ecosystem
Models in a git repository
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
 
Download zip file
Help downloading and running models
Model Information
Model File
Citations
Model Views
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
]
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):
Neocortex 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;
Vision;
Implementer(s):
Search NeuronDB
for information about:
I Na,t
;
I A
;
I K
;
I K,Ca
;
I Calcium
;
Download the displayed file
/
SSC_model
ReadMe.html
ReadMe_orig
iA.mod
iap.mod
ic.mod
ical.mod
VectorSynNS.mod
axon.hoc
InitArrays.hoc
InitSSCArrays.hoc
InitSynapses.hoc
j3886d_sdt.hoc
MeasureDist.hoc
mosinit.hoc
ssc.hoc
sscDistCl1
sscDistCl2
sscDistCl3
sscDistCl4
sscProxCl1
sscProxCl2
sscProxCl3
sscProxCl4
sscSomaCl1
*
Other models using sscSomaCl1:
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017)
Mathematical model for windup (Aguiar et al. 2010)
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018)
Neuromorphic muscle spindle model (Vannucci et al 2017)
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
sscSomaCl2
*
Other models using sscSomaCl2:
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017)
Mathematical model for windup (Aguiar et al. 2010)
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018)
Neuromorphic muscle spindle model (Vannucci et al 2017)
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
sscSomaCl3
*
Other models using sscSomaCl3:
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017)
Mathematical model for windup (Aguiar et al. 2010)
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018)
Neuromorphic muscle spindle model (Vannucci et al 2017)
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
sscSomaCl4
*
Other models using sscSomaCl4:
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017)
Mathematical model for windup (Aguiar et al. 2010)
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018)
Neuromorphic muscle spindle model (Vannucci et al 2017)
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
13 9 16 16 9 24 7 0 22 21 23 16 19 24 22 25 2 19 24 24 1 5 24 19 2 5 2 13 21 7 5 15 21 17 6 20 6 6
Load Model View
Loading data, please wait...