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Models of visual topographic map alignment in the Superior Colliculus (Tikidji-Hamburyan et al 2016)
 
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Model Information
Model File
Citations
Accession:
195658
We develop two novel computational models of visual map alignment in the SC that incorporate distinct activity-dependent components. First, a Correlational Model assumes that V1 inputs achieve alignment with established retinal inputs through simple correlative firing mechanisms. A second Integrational Model assumes that V1 inputs contribute to the firing of SC neurons during alignment. Both models accurately replicate in vivo findings in wild type, transgenic and combination mutant mouse models, suggesting either activity-dependent mechanism is plausible.
Reference:
1 .
Tikidji-Hamburyan RA, El-Ghazawi TA, Triplett JW (2016) Novel Models of Visual Topographic Map Alignment in the Superior Colliculus.
PLoS Comput Biol
12
:e1005315
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Superior colliculus;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
Cython;
Python;
Model Concept(s):
Connectivity matrix;
Development;
Vision;
Implementer(s):
Tikidji-Hamburyan, Ruben [ruben.tikidji.hamburyan at gmail.com] ;
/
V1toSCalignment
readme.html
1D-DensityView.py
20160910104211-402-tot.csv
20160910104211-402-tot.db.gz
2D-View.py
density.jpeg
EnergyChaser.pyx
EnergyModel.py
projections.jpeg
runsimulation.sh
samples.jpeg
steup.py
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