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

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arxiv 2304.08504 v1 pith:D73UEIVJ submitted 2023-04-17 cs.ET physics.app-ph

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

classification cs.ET physics.app-ph
keywords computingneuromorphicneuronsreal-timeultra-lowcurrentenableenergy-efficient
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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