State Dynamics and Modeling of Tantalum Oxide Memristors

By John Paul Strachan, Antonio C. Torrezan, Feng Miao, Matthew D. Pickett, J. J. Yang, W. Yi, Gilberto Medeiros-Ribeiro, R. S. Williams. IEEE Transactions on Electron Devices, 2013

193 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1bc2d4694f143470ed2ef7ab573bee7a0abebca6

Citations in the corpus

• Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training (2015, unknown): “Such memristive models, which are more commonly used to model actual physical devices [14], [41], [42], are discussed in [Appendix A, 39].”