Coupled Spin Torque Nano Oscillators for Low Power Neural Computation

Karthik Yogendra, Deliang Fan, Kaushik Roy

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

We present coupled spin torque nano oscillators (STNOs) as electronic neurons for efficient brain-inspired computation. The coupled STNOs show two distinct outputs, depending on whether the frequencies are locked or not. The locking mechanisms are based on magnetic coupling or injection locking. The neuron firing threshold can be set by tuning the locking range of the coupled STNOs. We employ a crossbar array of programmable memory devices like memristors to implement electronic synapses that work seamlessly with the coupled STNOs for hardware implementation of neural networks. Results show that injection locking-based neuron model can be attractive from scaling point of view and computation like character recognition can be performed with energy consumption per neuron of ∼ 1.8X and ∼ 3X lower than the digital and the analog CMOS counterpart, respectively.

Original languageEnglish (US)
Article number4003909
JournalIEEE Transactions on Magnetics
Volume51
Issue number10
DOIs
StatePublished - Oct 1 2015
Externally publishedYes

Keywords

  • coupled spin torque nano-oscillators
  • frequency locking
  • injection locking
  • low power
  • neural networks
  • programmable resistive crossbar

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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