New Journal Paper at JCSC on Memristor-Based Neuromorphic Computing

On July 30 – 2021, Eng. Mai Goda, ONE Lab current PhD student at Cairo University, and Eng. Ahmed Hossam, ONE Lab current PhD candidate at Cairo University, have an accepted paper at Journal of Circuits, Systems, and Computers (JCSC), titled “A Novel Refreshment Circuit for 2T1M Neuromorphic Synapse“.

The paper is co-authored with the Egyptian father-of-Electronics, Prof. Ahmed M. Soliman, which is a an honor to ONE lab research group.

Abstract: Neuromorphic systems are the future computing systems to overcome the von Neumann’s power consumption and latency wall between memory and processing units. The two main components of any neuromorphic computing system are neurons and synapses. Synapses carry the weight of the system to be multiplied by the neuromorphic attributes, which represent the features of the task to be solved. Memristor (memory-resistor), is the most suitable circuit element to act as a synapse. Its ability to store, update and do matrices multiplication in nanoscale die area makes it very useful in neuromorphic synapses. One of the most popular memristor synapse configuration is the two-transistor-one-memristor (2T1M) synapse. This configuration is very useful in neuromorphic synapse for its ability to control the reading and updating the weight on chip by signals. The main problem with this synapse is that the reading operation is destructive, which results in changing the stored weight value. In this paper, a novel refreshment circuit is proposed to restore the correct weight in case of any destructive reading operations. The circuit makes a small interrupt time during operation without disconnecting the memristor, which makes the circuit very practical. The circuit has been simulated by using hardware-calibrated CMOS TSMC130nm technology on Cadence Virtuoso and Linear Ion Drift memristor Verilog-A model. The proposed circuit achieves the refreshment task accurately for several error types. It is used to refresh 2T1M synapse with any destructive reading signal shape.