Memristive based oscillatory associative and dynamic memories

The aim of the work is to develop theoretical methodologies and numerical techniques for the analysis and design of systems composed of memristive oscillators. In particular, we focus on networks made up of nonlinear oscillators with or without memristors interacting through resistive and/or memristive 'synapses'. Such methodologies will play a fundamental role in the realization of Neuromorphic Memristive Oscillatory Networks for pattern recognition tasks.

[1]  Fernando Corinto,et al.  Periodic oscillations in weakly connected cellular nonlinear networks , 2008, Proceedings. 2005 International Conference Physics and Control, 2005..

[2]  L.O. Chua,et al.  Memristive devices and systems , 1976, Proceedings of the IEEE.

[3]  Leon O. Chua,et al.  Star Cellular Neural Networks for Associative and Dynamic Memories , 2004, Int. J. Bifurc. Chaos.

[4]  Leon O. Chua,et al.  Memristor oscillators , 2008, Int. J. Bifurc. Chaos.

[5]  L. Chua.  Memristor-The missing circuit element , 1971 .

[6]  Fernando Corinto,et al.  Weakly Connected Oscillatory Network Models for Associative and Dynamic Memories , 2007, Int. J. Bifurc. Chaos.

[7]  Patrick van der Smagt,et al.  Introduction to neural networks , 1995, The Lancet.

[8]  F. Corinto,et al.  Periodic Oscillations in Weakly Connected Cellular Nonlinear Networks , 2008, IEEE Transactions on Circuits and Systems I: Regular Papers.

[9]  Massimiliano Di Ventra,et al.  Experimental demonstration of associative memory with memristive neural networks , 2009, Neural Networks.

[10]  Leon O. Chua,et al.  Circuit Elements With Memory: Memristors, Memcapacitors, and Meminductors , 2009, Proceedings of the IEEE.

[11]  D. Stewart,et al.  The missing memristor found , 2008, Nature.