Generic Extensional Framework for the Memristive Systems
Zhiwei Li, Haijun Liu, Xin Xu

TL;DR
This paper introduces a more flexible framework for memristive systems that can handle discontinuities and non-standard models, broadening the applicability beyond traditional canonical models.
Contribution
It proposes a generic extensional framework for memristive systems, accommodating discontinuous and non-
Findings
Framework can model discontinuous memristive behaviors
Includes subclasses fitting existing memristor device models
Broadens theoretical understanding of memristive systems
Abstract
Considering the over-requirement of continuity and "well-defined" confined by the canonical framework model for memristive systems, this short paper proposes a more generic extensional framework to accommodate those discontinuity or not "well-defined" situation. In particular, two special subclasses are pointed out to fit the hitherto memristor device models.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Memory and Neural Computing · Neural dynamics and brain function · Neuroscience and Neural Engineering
