Biorealistic Implementation of Synaptic Functions with Oxide Memristors through Internal Ionic Dynamics

By Chao Du, Wen Ma, Ting Chang, Patrick Sheridan, Wei Dang Lu. 2015

400 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/08b10a4c94ec00e53160f597c13f10a1f17c0893

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Mohammed Affan Zidan
2. John Paul Strachan
3. Wei D. Lu
4. Fuxi Cai
5. Chao Du
6. Wen Ma
7. Shimeng Yu

In Cognitive Neuroscience

1. Mohammed Affan Zidan
2. Wei D. Lu
3. John Paul Strachan

In Electrical and Electronic Engineering

1. Mohammed Affan Zidan
2. John Paul Strachan
3. Wei D. Lu
4. Fuxi Cai
5. Chao Du
6. Seung Hwan Lee
7. Wen Ma
8. Shimeng Yu

Citations in the corpus

• The future of electronics based on memristive systems (2018, background): “This type of behaviour has been recently observed in so-called second-order memristor devices 12,67 and diffusive memristor devices 68 , where the rise and decay of one state variable (for example, local temperature) encodes the relative timing information and can subsequently modulate the Ref.”
• Reservoir computing using dynamic memristors for temporal information processing (2017, methodology): “12 – 13).”
• Neuro-Inspired Computing With Emerging Nonvolatile Memorys (2018, neutral): “In addition to the analog conductance tuning capability, biologically realistic behaviors such as short-term memory, pair-pulse facilitation, and spike-timing-dependent plasticity have been emulated in various devices, including Ag/Ag2S-based CBRAM [56], Cu/Cu2S-based CBRAM [57], Ag/GeS2-based CBRAM”