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Computational Model of a Central Pattern Generator (Cataldo et al 2006)
Accession: 65412
The buccal ganglia of Aplysia contain a central pattern generator (CPG) that mediates rhythmic movements of the foregut during feeding. This CPG is a multifunctional circuit and generates at least two types of buccal motor patterns (BMPs), one that mediates ingestion (iBMP) and another that mediates rejection (rBMP). The present study used a computational approach to examine the ways in which an ensemble of identified cells and synaptic connections function as a CPG. Hodgkin-Huxley-type models were developed that mimicked the biophysical properties of these cells and synaptic connections. The results suggest that the currently identified ensemble of cells is inadequate to produce rhythmic neural activity and that several key elements of the CPG remain to be identified.
Reference: Cataldo E, Byrne JH, Baxter DA (2006) Computational Model of a Central Pattern Generator CMSB 2006, Lecture Notes in Bioinformatics LNBI 4210, Priami C, ed. pp.242
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type:  Network;
Brain Region(s)/Organism:  Aplysia;
Cell Type(s):   Aplysia feeding CPG neurons;
Channel(s):  I Chloride; I Na,p; I K; I Sodium; I Potassium;  
Gap Junctions:  
Receptor(s):  
Gene(s):  
Transmitter(s):  
Simulation Environment:  SNNAP;
Model Concept(s):  Temporal Pattern Generation; Oscillations; Invertebrate;
Implementer(s):  
Search NeuronDB for information about:  I Chloride; I Na,p; I K; I Sodium; I Potassium;
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Aplysia_Feeding_CPG_Network
B31
B34
B35
B4
B51
B52
B63
B64
B8
cs
es
ntw
ous
sB31
sB34
sB35
sB4
sB51
sB52
sB63
sB64
sB8
scs
ses
smu
sZ
trt
Z
README.txt
ousgrf.def
rBMP.smu
network_1.smu
rTermination.smu
simufiles.usd
stochastic5.smu
                            
README.txt

This simulation reproduces the model published 
in:

Cataldo E, Byrne JH, Baxter DA
Computational Model of a Central Pattern Generator
Lecture Notes in Bioinformatics (2006, in press)




Example use:

Start SNNAP (double click on the SNNAP.jar file)
click on "Run Simulation"
Then in the new window "File"->"Load Simulation"
browse to and load rBMP.smu file to load a simulation
that creates a figure similar to Fig.5 from the paper and click "Start"
See http://snnap.uth.tmc.edu/ to download SNNAP


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