Neural Synaptic Weighting With a Pulse-Based Memristor Circuit

By Hyongsuk Kim, Maheshwar Prasad Sah, Changju Yang, T. Roska, Leon Ong Chua. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2012

332 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/bb0e26fb682bd20feb2587eae138cd0f18de3474

How researchers see this paper

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

In Cognitive Neuroscience

1. Andy Thomas
2. Leon Ong Chua

In Electrical and Electronic Engineering

1. Andy Thomas
2. Hyongsuk Kim
3. Maheshwar Prasad Sah
4. Leon Ong Chua
5. Shyam Prasad Adhikari
6. Changju Yang

Citations in the corpus

• Memristor Emulator for Memristor Circuit Applications (2012, background): “Also, the potential for exploiting memristors for neuromorphic applications had been proposed by many scientists [3], [4], [7], and [20]–[22].”
• Memristor-based neural networks (2013, background): “Then, wewillreview experiments, and mostly disregard simulations [30–33] that use memristive systems to realize the same processes.”
• Memristor Bridge Synapse-Based Neural Network and Its Learning (2012, background): “Recently, an artificial synapse consisting of multiple identical memristors in a bridge-like fashion capable of performing signed synaptic weights was proposed in [30] and [31].”