Plasticity Mechanisms and Neuromorphic Learning with Correlated Semiconductors

Abstract

We have studied non-associative learning in nickel oxide (NiO) based devices under a variety of external stimulus. Similar to biological organisms, habituation and sensitization learning plasticity has been investigated with the influence of electrical stimulus. Such learning behavior of NiO devices results from dynamic modulation of its defect and electronic structure. The results inspire new neural network learning algorithms that can incorporate the non-associative characteristics and a brief summary of results are discussed below.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 19, 2023
Accession Number
AD1224006

Entities

Organizations

  • Purdue University

Tags

Readers

  • Materials Science and Engineering.
  • Neuroscience
  • STEM Education

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Microelectronics