Published March 20, 2019 | Version v1
Journal article

Adaptive threshold in TiO2-based synapses

  • 1. Gerencia de Investigaciones y Aplicaciones e Instituto de Nanociencia y Nanotecnología (CNEA), C1650B San Martín, Buenos Aires (Argentina)
  • 2. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), C1033AAJ Bs. As. (Argentina)

Description

We measured and analyzed the dynamic and remnant current–voltages curves of Al/TiO2/Au and Ni/TiO2/Ni/Au memory devices in order to understand the conduction mechanisms and their synapse-like memory properties. Current levels and switching threshold voltages are strongly affected by the metal used for the electrode. We propose a non-trivial circuit model which captures in detail the current–voltage response of both kinds of devices. We found that, for the former device, the voltage threshold can be maintained constant, independently of the applied voltage history, while for the latter, a limiting resistor controls the threshold voltages behavior, being the origin of their dependence on the resistance value previous to the switching. The identification of the conduction mechanisms across the device allows optimizing the memristor performance and determining the best electrode choice to improve the device synapse-emulation abilities. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1361-6463/aafdf3

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Physics. D, Applied Physics
Journal Volume
52
Journal Issue
12
Journal Page Range
[7 p.]
ISSN
0022-3727
CODEN
JPAPBE