Neural Synaptic Weighting With a Pulse-Based Memristor Circuit

• Published in: IEEE transactions on circuits and systems. I, Regular papers Vol. 59; no. 1; pp. 148 - 158
• Main Authors: Hyongsuk Kim, Sah, Maheshwar, Changju Yang, Roska, Tamás, Chua, Leon O.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2012; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adjustability; Circuits; Computer simulation; Integrated circuit modeling; Joints; Mathematical model; memristor; Memristors; Noise; programmable synapse; pulse-based processing; Resistance; Switches; Switching; Synapses; synaptic weight; Terminals; Titanium dioxide; Transistors; Weighting

A pulse-based programmable memristor circuit for implementing synaptic weights for artificial neural networks is proposed. In the memristor weighting circuit, both positive and negative multiplications are performed via a charge-dependent Ohm's law (). The circuit is composed of five memristors...