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Working memory circuit with branched dendrites (Morita 2008)
Accession: 117204
This is a rate-coding model of the neocortical spatial working memory circuit incorporating multiple dendritic branches of the individual pyramidal cell in order to examine how nonlinear dendritic integration, combined with the nonuniform distribution of the external input, affects the behavior of the whole circuit.
Reference: Morita K (2008) Possible role of dendritic compartmentalization in the spatial working memory circuit. J Neurosci 28:7699-724 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type:  Network;
Brain Region(s)/Organism:  
Cell Type(s):   
Channel(s):   
Gap Junctions:  
Receptor(s):  
Gene(s):  
Transmitter(s):  
Simulation Environment:  MATLAB;
Model Concept(s):  Working memory;
Implementer(s):  Morita, Kenji [morita at brain.riken.jp];
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SWMdend1
readme.html
screenshot1.jpg
screenshot2.jpg
screenshot3.jpg
screenshot4.jpg
simulation_example.m
SWMdend1.m
SWMdend1_wofig.m
                            
This is the readme for the model associated with the paper

Morita K (2008) Possible role of dendritic compartmentalization in the
spatial working memory circuit. J Neurosci 28:7699-724

"SWMdend1.m" is a code for a single simulation trial of the circuit model.

It can be tested as follows: (as described in the top part of the
M-file itself)

[stim, x0, out, soas] = SWMdend1([100 100],[0 200 400],...
[pi/12 0 1],[pi/12 0 15],1.6,[pi/8 0 24 0.05],[0.1 5 0.1], ...
[pi/12 0.3 0.1 0.1],0.05,[]);

this creates figures that are similar to Fig 6B, for example:

screenshot1

screenshot2

screenshot3

screenshot4

"simulation_example.m" is a code for systematically running
"SWMdend1.m" for a large number of parameter sets.

"SWMdend1.m" includes codes for drawing figures, but they would be
problematic for a large scale simulation, because there will appear
too many figures.

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