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<h2 id="circuit-design">Circuit Design</h2> <h2 id="circuit-design">Circuit Design</h2>
<p>W/L = 4/3</p> <p>W/L = 4/3</p>
<h2 id="circuit-simulation">Circuit Simulation</h2> <h2 id="circuit-simulation">Circuit Simulation</h2>
<p><img alt="lif, output plot" src="/docs-site/docs/img/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> <p><img alt="lif, output plot" src="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="referennces">Referennces</h2> <h2 id="referennces">Referennces</h2>
<ol> <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> <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>

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<p>Input current mirror W/l = 0.2 <br> <p>Input current mirror W/l = 0.2 <br>
All other transistors W/L = 4/3</p> All other transistors W/L = 4/3</p>
<h2 id="circuit-simulation">Circuit Simulation</h2> <h2 id="circuit-simulation">Circuit Simulation</h2>
<p><img alt="snowball, output plot" src="/docs-site/docs/img/exif_plot.png" /> Fig.1 The dynamics of Exponential integrate and fire neuron. The light blue signal is the input spikes, the yellow signal is the membrane potential and the dark blue is the output spikes from the neuron.</p> <p><img alt="snowball, output plot" src="exif_plot.png" /> Fig.1 The dynamics of Exponential integrate and fire neuron. The light blue 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="references">References</h2> <h2 id="references">References</h2>
<ol> <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>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>

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@@ -3513,7 +3513,7 @@ def plot_vf(ax, neuron_model, u_range, v_range):
<p>Input current mirror W/l = 0.2 <br> <p>Input current mirror W/l = 0.2 <br>
All other transistors W/L = 4/3</p> All other transistors W/L = 4/3</p>
<h2 id="neuron_models-snowball-circuit-simulation">Circuit Simulation</h2> <h2 id="neuron_models-snowball-circuit-simulation">Circuit Simulation</h2>
<p><img alt="snowball, output plot" src="/docs-site/docs/img/exif_plot.png" /> Fig.1 The dynamics of Exponential integrate and fire neuron. The light blue signal is the input spikes, the yellow signal is the membrane potential and the dark blue is the output spikes from the neuron.</p> <p><img alt="snowball, output plot" src="../neuron_models/snowball/exif_plot.png" /> Fig.1 The dynamics of Exponential integrate and fire neuron. The light blue 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-snowball-references">References</h2> <h2 id="neuron_models-snowball-references">References</h2>
<ol> <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>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>