Ultra-Low Power Reconfigurable Synaptic and Neuronal Transistor for Spiking Neural Network
Author:
Affiliation:
1. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, India
2. Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India
Funder
Department of Science and Technology-Science and Engineering Research Board, Government of India, New Delhi, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7729/10016255/10120989.pdf?arnumber=10120989
Reference28 articles.
1. Simulation-Based Ultralow Energy and High-Speed LIF Neuron Using Silicon Bipolar Impact Ionization MOSFET for Spiking Neural Networks
2. A Highly Scalable Junctionless FET Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
3. Emerging neuromorphic devices
4. Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses
5. Mimicry of Excitatory and Inhibitory Artificial Neuron With Leaky Integrate-and-Fire Function by a Single MOSFET
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3. Design of Leaky Integrate and Fire Neuron for Spiking Neural Networks Using Trench Bipolar I-MOS;IEEE Transactions on Nanotechnology;2023
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