Discrimination of Motion Direction in a Robot Using a Phenomenological Model of Synaptic Plasticity

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Parameters</td><td class="align_center">Values</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Spike emission threshold (<i>θ</i>)</td><td class="align_center">−55 mV</td></tr><tr><td class="align_left">Resting membrane potential (<i>V</i><sub>rest</sub>)</td><td class="align_center">−70 mV</td></tr><tr><td class="align_left">Membrane resistance (<i>R</i><sub>m</sub>)</td><td class="align_center">200 mΩ</td></tr><tr><td class="align_left">Membrane time constant (<i>τ</i><sub>m</sub>)</td><td class="align_center">30 ms</td></tr><tr><td class="align_left">Absolute refractory period (<i>τ</i><sub>arp</sub>)</td><td class="align_center">2 ms</td></tr><tr><td class="align_left">Integration time step (<i>dt</i>)</td><td class="align_center">1 ms</td></tr><tr><td class="align_left">Stimulus duration (<i>T</i>)</td><td class="align_center">1000 ms</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Leaky integrate-and-fire parameters.</div>

Computational Intelligence and Neuroscience

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Table 2

Table 2: Discrimination of Motion Direction in a Robot Using a Phenomenological Model of Synaptic Plasticity 