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<ol>
<li>Rubino, Arianna, Melika Payvand, and Giacomo Indiveri. "Ultra-low power silicon neuron circuit for extreme-edge neuromorphic intelligence." 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS). IEEE, 2019.</li>
<li>Bartolozzi, Chiara, Srinjoy Mitra, and Giacomo Indiveri. "An ultra low power current-mode filter for neuromorphic systems and biomedical signal processing." 2006 IEEE Biomedical Circuits and Systems Conference. IEEE, 2006.</li>
</ol></section></section>
<section class='print-page md-section' id='section-2-5' heading-number='2.5'>
<h1>LIF<a class='headerlink' href='#section-2-5' title='Permanent link'></a>
</h1>
<section class="print-page" id="neuron_models-lif" heading-number="2.5.1"><h1 id="neuron_models-lif-lif">LIF</h1>
<h2 id="neuron_models-lif-circuit-design">Circuit Design</h2>
<p>W/L = 4/3</p>
<h2 id="neuron_models-lif-circuit-simulation">Circuit Simulation</h2>
<p><img alt="lif, output plot" src="../neuron_models/lif/lif_plot.png" /> Fig.1 The dynamics of leaky integrate and fire neuron. The grey signal is the input spikes, the yellow signal is the membrane potential and the dark blue is the output spikes from the neuron.</p>
<h2 id="neuron_models-lif-referennces">Referennces</h2>
<ol>
<li>Sourikopoulos I, Hedayat S, Loyez C, Danneville F, Hoel V, Mercier E and Cappy A (2017) A 4-fJ/Spike Artificial Neuron in 65 nm CMOS Technology. Front. Neurosci. 11:123. doi: 10.3389/fnins.2017.00123</li>
</ol></section></section></section>
<section class='print-page md-section' id='section-3' heading-number='3'>
<h1>API Reference<a class='headerlink' href='#section-3' title='Permanent link'></a>
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