Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing

Shubham Patil; Jayatika Sakhuja; Ajay Kumar Singh; Anmol Biswas; Vivek Saraswat; Sandeep Kumar; Sandip Lashkare; Udayan Ganguly

Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing

Emerging Technologies 2023-04-19 v1 Applied Physics

Authors: Shubham Patil , Jayatika Sakhuja , Ajay Kumar Singh , Anmol Biswas , Vivek Saraswat , Sandeep Kumar , Sandip Lashkare , Udayan Ganguly

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Abstract

Energy-efficient real-time synapses and neurons are essential to enable large-scale neuromorphic computing. In this paper, we propose and demonstrate the Schottky-Barrier MOSFET-based ultra-low power voltage-controlled current source to enable real-time neurons for neuromorphic computing. Schottky-Barrier MOSFET is fabricated on a Silicon-on-insulator platform with polycrystalline Silicon as the channel and Nickel/Platinum as the source/drain. The Poly-Si and Nickel make the back-to-back Schottky junction enabling ultra-low ON current required for energy-efficient neurons.

Keywords

neuromorphic computing memristor

Cite

@article{arxiv.2304.08504,
  title  = {Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing},
  author = {Shubham Patil and Jayatika Sakhuja and Ajay Kumar Singh and Anmol Biswas and Vivek Saraswat and Sandeep Kumar and Sandip Lashkare and Udayan Ganguly},
  journal= {arXiv preprint arXiv:2304.08504},
  year   = {2023}
}

Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing

Abstract

Keywords

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