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Investigating the impact of bti and hci on log-domain based mihalas–niebur neuron circuit
Babu S.J., Vipperla A., Murthy H.V., Sandhya C., Picardo S.M., , Goel N.
Published in Springer
Volume: 659
Pages: 528 - 536
Neuromorphic circuits are becoming quite popular due to their ability to mimic the structure and behavior of human brain. Current research focuses on approximating spiking biological neuron behavior. Various neuron models have been proposed in the past that aid in investigating the behavior of neuronal systems mathematically. Mihalas–Niebur (MN) neuron model is one among them. In this paper log-domain based MN neuron model is implemented at 45 nm technology node. The paper studies the effects of process-temperature variations and also investigates the impact of Hot Carrier Injection (HCI), Bias Temperature Instability (BTI) on the performance of MN circuit. Average power consumption and spiking frequency are chosen as key performance measures to analyze the circuit performance before and after degradation. © Springer Nature Singapore Pte Ltd 2020.
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