In-Memory Computing by Memristor Circuits


Ronald Tetzlaff, Ph.D.
Center for Information Services and High-Performance Computing
Technical University of Dresden, Germany


Neuromorphic circuits will be considered for energy efficient computing based on biological principles in future electronic systems.  Thereby, memristors are assumed in neuron models and for synapses in several recent investigations in order to overcome the limits of conventional von Neumann architectures by taking these devices as memory elements as well as devices for computation in bio-inspired artificial neural networks.  Recently, an implementation of a cross-bar array of resistive memory devices has been applied for the detection of temporal correlations between event-based data streams.  Furthermore, Memristor Cellular Neural Networks (M-CNN) are universal high-speed computing systems with stored programmability and are also based on the principle of distributed computing with memory.  The dynamical behavior of these spatio-temporal systems will be exploited to solve multidimensional signal processing and classification problems.  For example, reaction-diffusion systems can be represented by state equations of so-called reaction-diffusion CNN showing the emergence of complex behavior (e.g. pattern formation) based on local activity and especially on a parameter subset called the “edge of chaos”.

A detailed introduction into the theory of memristors will be provided and recent applications discussed in detail.  Furthermore, M-CNN will be proposed as sensor-processor structures allowing the application of deep learning in future information processing systems.  Finally, a memristor-enhanced robot control system will be introduced and the performance in movement control evaluated for different cases.


Ronald Tetzlaff is a Full Professor of Fundamentals of Electrical Engineering at the Technische Universtität Dresden, Germany.  From 1999 to 2003 Ronald Tetzlaff was Associate Editor of the IEEE, Transactions on Circuits and Systems: part I.  He was “Distinguished Lecturer” of the IEEE CAS Society (2001 to 2002).  He is a member of the scientific committee of different international conferences.  He was the chair of the 7th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA 2002) and organized several special sessions at circuit and systems related conferences.  From 2005 to 2007 he was the chair of the IEEE Technical Committee Cellular Neural Networks & Array Computing.  Ronald Tetzlaff is a member of the Informationstechnische Gesellschaft (ITG) and the German Society of Electrical Engineers and of the German URSI Committee.  Ronald Tetzlaff is in the Editorial Board of the International Journal of Circuit Theory and Applications since 2007 and he is also in the Editorial Board of the IEEE, Transactions on Circuits and Systems: part II since 2016.  He was Associate Editor of the AEά – International Journal of Electronics and Communications from 2008 to 2016.  Ronald Tetzlaff was the chair of the 18th IEEE Workshop on Nonlinear Dynamics of Electronic Systems (NDES 2010), the chair of the 5th International Workshop on Seizure Prediction (IWSP5 2012), the chair of the 21st European Conference on Circuit Theory and Design (ECCTD 2013), the chair of the 5th Memristor and Memristive Symposium 2016, and of the 15th IEEE International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2016).  Since 2014, he serves as the leader of working group 2 (Memristor Theory, Modelling and Simulation) in the EU COST action MemoCIS (IC 1401) on Memristors – Devices, Models, Circuits, Systems and Applications.  Ronald Tetzlaff serves as a reviewer for several journals and for the European Commission.

Host:  Thomas Potok, potokte@ornl.gov 

Last Updated: May 28, 2020 - 4:06 pm