Stochastic magnetoelectric neuron for temporal information encoding

Kezhou Yang, Abhronil Sengupta

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Emulating various facets of computing principles of the brain can potentially lead to the development of neuro-computers that are able to exhibit brain-like cognitive capabilities. In this Letter, we propose a magnetoelectronic neuron that utilizes noise as a computing resource and is able to encode information over time through the independent control of external voltage signals. We extensively characterize the device operation using simulations and demonstrate its suitability for neuromorphic computing platforms performing temporal information encoding.

Original languageEnglish (US)
Article number043701
JournalApplied Physics Letters
Issue number4
StatePublished - Jan 27 2020

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy (miscellaneous)


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