Model parameter values for ML neuron model.

<div><p>Artificial neurons with bio-inspired firing patterns have the potential to significantly improve the performance of neural network computing. The most significant component of an artificial neuron circuit is a large amount of energy consumption. Recent literature has proposed mem...

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Bibliographic Details
Main Author:	Keerthi Nalliboyina (20623524) (author)
Other Authors:	Sakthivel Ramachandran (20623527) (author)
Published:	2025
Subjects:	Neuroscience Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified standard cmos technology neural network computing lecar theoretical model inspired firing patterns implementing memristive circuitry energy per spike based artificial neurons relevant research topic high spiking frequency based morris lecar neuron circuit response low power utilization memristor synapse model artificial neuron circuit low power consumption artificial neurons synapse circuit spiking frequency energy consumption efficient circuit synaptic implementation spectre tool significantly improve significant component recent literature proposed memristors promising option paper describes modified version large amount dual transistor dual memristor 72 khz 55 pw 13 fj
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Model parameter values for ML neuron model.

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