Adaptation of Short-Term Plasticity parameters (Esposito et al. 2015)

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Accession:169242
"The anatomical connectivity among neurons has been experimentally found to be largely non-random across brain areas. This means that certain connectivity motifs occur at a higher frequency than would be expected by chance. Of particular interest, short-term synaptic plasticity properties were found to colocalize with specific motifs: an over-expression of bidirectional motifs has been found in neuronal pairs where short-term facilitation dominates synaptic transmission among the neurons, whereas an over-expression of unidirectional motifs has been observed in neuronal pairs where short-term depression dominates. In previous work we found that, given a network with fixed short-term properties, the interaction between short- and long-term plasticity of synaptic transmission is sufficient for the emergence of specific motifs. Here, we introduce an error-driven learning mechanism for short-term plasticity that may explain how such observed correspondences develop from randomly initialized dynamic synapses. ..."
Reference:
1 . Esposito U, Giugliano M, Vasilaki E (2014) Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity. Front Comput Neurosci 8:175 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s): Synaptic Plasticity; Short-term Synaptic Plasticity; Facilitation; Depression; Learning;
Implementer(s):
    
            %% Print an image in PDF with custom ppi with white background
            
function writePDF1000ppi(figNo, numericFontSize, axesFontSize, xlab, ylab, fileName)

%make the font smaller
set(gca,'fontsize',numericFontSize-10);
set(xlab,'fontsize',axesFontSize-10);
set(ylab,'fontsize',axesFontSize-10);

%make the backgroung white
set(figNo,'color','w');

%get figure size
set(gca,'units','centimeters');
op = get(gca,'OuterPosition');

%create a page the same size as the figure
set(gcf, 'PaperUnits','centimeters');
set(gcf, 'PaperSize', [op(3) op(4)]);

%locate the figure in the page
set(gcf, 'PaperPositionMode', 'manual');
set(gcf, 'PaperPosition',[0 0 op(3) op(4)]);

%print in PDF with resolution of 600ppi
print(gcf, '-dpdf', '-r1000', fileName)

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