Analyzing the Effects of Gap Junction Blockade on Neural Synchrony via a Motoneuron Network Computational Model

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Firing frequency</td><td align="center">Mean</td><td align="center">Standard deviation</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Before</td><td align="center">13.7671</td><td align="center">0.0226</td></tr><tr><td align="left">After</td><td align="center">12.8132</td><td align="center">0.0684</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational Intelligence and Neuroscience

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Table 2

Table 2: Analyzing the Effects of Gap Junction Blockade on Neural Synchrony via a Motoneuron Network Computational Model 