Comparative Study of Metaheuristics for the Curve-Fitting Problem: Modeling Neurotransmitter Diffusion and Synaptic Receptor Activation

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/aaa/volume-2015/708131/figures/708131.fig.002a.svgz" name="708131.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b><i>Glutamate</i> concentration curve</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/aaa/volume-2015/708131/figures/708131.fig.002b.svgz" name="708131.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Open<i> AMPA</i> receptors curve</td></tr></table>

<div>Examples of synaptic curves after a neurotransmitter vesicle release. (a) Variation of neurotransmitter (in this case<i> glutamate</i>) concentration through time inside the synaptic cleft. (b) Variation in the total number of synaptic receptors (in this case<i> AMPA</i>) in the open state through time.</div>

Abstract and Applied Analysis

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Figure 2

Figure 2: Comparative Study of Metaheuristics for the Curve-Fitting Problem: Modeling Neurotransmitter Diffusion and Synaptic Receptor Activation 