Formation of synfire chains (Jun and Jin 2007)

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"Temporally precise sequences of neuronal spikes that span hundreds of milliseconds are observed in many brain areas, including songbird premotor nucleus, cat visual cortex, and primary motor cortex. Synfire chains—networks in which groups of neurons are connected via excitatory synapses into a unidirectional chain—are thought to underlie the generation of such sequences. It is unknown, however, how synfire chains can form in local neural circuits, especially for long chains. Here, we show through computer simulation that long synfire chains can develop through spike-time dependent synaptic plasticity and axon remodeling—the pruning of prolific weak connections that follows the emergence of a finite number of strong connections. ..."
1 . Jun JK, Jin DZ (2007) Development of neural circuitry for precise temporal sequences through spontaneous activity, axon remodeling, and synaptic plasticity. PLoS One 2:e723 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s):
Gap Junctions:
Simulation Environment: C or C++ program;
Model Concept(s): Temporal Pattern Generation; Spatio-temporal Activity Patterns; STDP; Vision;
Implementer(s): Miller, Aaron [aaron at];
echo -n "enter new sim directory name:"
read runame

mkdir $runame
cp synfire* syn_analysis.m make_header.cpp ran1.h $runame
cd $runame
mkdir syn volt roster read connect

echo -n "enter sim network size:"
read netsize

g++ -o set_size make_header.cpp
./set_size $netsize

rm set_size make_header.cpp

g++ -o $runame synfireGrowth.cpp

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