Modeling and simulation of large memristive networks
暂无分享,去创建一个
Dalibor Biolek | Zdenek Kolka | Zdenek Biolek | Viera Biolková | Milka M. Potrebic | Dejan V. Tosic | D. Biolek | Zdeněk Biolek | V. Biolková | Z. Kolka | D. Tosic | M. Potrebić
[1] Dalibor Biolek,et al. Some fingerprints of ideal memristors , 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).
[2] Fabien Alibart,et al. Pattern classification by memristive crossbar circuits using ex situ and in situ training , 2013, Nature Communications.
[3] Chris Yakopcic,et al. Generalized Memristive Device SPICE Model and its Application in Circuit Design , 2013, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[4] C. Toumazou,et al. A Versatile Memristor Model With Nonlinear Dopant Kinetics , 2011, IEEE Transactions on Electron Devices.
[5] Ronald Tetzlaff,et al. The Art of Finding Accurate Memristor Model Solutions , 2015, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
[6] Hao Yu,et al. SPICE simulator for hybrid CMOS memristor circuit and system , 2012, 2012 13th International Workshop on Cellular Nanoscale Networks and their Applications.
[7] D. Stewart,et al. The missing memristor found , 2008, Nature.
[8] Farnood Merrikh-Bayat,et al. Efficient training algorithms for neural networks based on memristive crossbar circuits , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).
[9] Derek Abbott,et al. Memristive Device Fundamentals and Modeling: Applications to Circuits and Systems Simulation , 2012, Proceedings of the IEEE.
[10] Georgios Ch. Sirakoulis,et al. XbarSim: An educational simulation tool for memristive crossbar-based circuits , 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).
[11] Pablo Ituero,et al. Building Memristor Applications: From Device Model to Circuit Design , 2014, IEEE Transactions on Nanotechnology.
[12] Dalibor Biolek,et al. Reliable Modeling of Ideal Generic Memristors via State-Space Transformation , 2015 .
[13] Stephen J. Wolf,et al. The elusive memristor: properties of basic electrical circuits , 2008, 0807.3994.
[14] Eby G. Friedman,et al. VTEAM – A General Model for Voltage Controlled Memristors , 2014 .
[15] Christos Papavassiliou,et al. A Memristor SPICE Model Accounting for Volatile Characteristics of Practical ReRAM , 2014, IEEE Electron Device Letters.
[16] J. Yang,et al. Switching dynamics in titanium dioxide memristive devices , 2009 .
[17] Bing Chen,et al. A SPICE Model of Resistive Random Access Memory for Large-Scale Memory Array Simulation , 2014, IEEE Electron Device Letters.
[18] D. Biolek,et al. Reliable SPICE Simulations of Memristors, Memcapacitors and Meminductors , 2013, 1307.2717.
[19] Shimeng Yu,et al. A SPICE Compact Model of Metal Oxide Resistive Switching Memory With Variations , 2012, IEEE Electron Device Letters.
[20] Leon O. Chua,et al. Everything You Wish to Know About Memristors But Are Afraid to Ask , 2015 .
[21] Farnood Merrikh-Bayat,et al. Training and operation of an integrated neuromorphic network based on metal-oxide memristors , 2014, Nature.
[22] Marisa López-Vallejo,et al. SPICE Compact Modeling of Bipolar/Unipolar Memristor Switching Governed by Electrical Thresholds , 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.
[23] Matthew D. Pickett,et al. SPICE modeling of memristors , 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).
[24] Massimiliano Di Ventra,et al. Solving mazes with memristors: a massively-parallel approach , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[25] L. Chua. Memristor-The missing circuit element , 1971 .
[26] Kenneth S. Kundert,et al. The designer's guide to SPICE and Spectre , 1995 .
[27] Dalibor Biolek,et al. Memristor model for massively-parallel computations , 2015, 2015 International Conference on Computing, Communication and Security (ICCCS).
[28] Haider A. F. Almurib,et al. Modeling of bipolar resistive switching of a nonlinear MISM memristor , 2015 .
[29] Chris Yakopcic,et al. Methods for reducing memristor crossbar simulation time , 2015, 2015 National Aerospace and Electronics Conference (NAECON).
[30] Dalibor Biolek,et al. Modeling of TiO2 memristor: from analytic to numerical analyses , 2014 .
[31] F. Corinto,et al. Memristor Model Comparison , 2013, IEEE Circuits and Systems Magazine.
[32] Ioannis Vourkas,et al. Massively Parallel Analog Computing: Ariadne’s Thread Was Made of Memristors , 2018, IEEE Transactions on Emerging Topics in Computing.
[33] D. Biolek,et al. Improved Model of TiO2 Memristor , 2015 .
[34] Chris Yakopcic,et al. SPICE analysis of dense memristor crossbars for low power neuromorphic processor designs , 2015, 2015 National Aerospace and Electronics Conference (NAECON).
[35] Shimeng Yu,et al. MNSIM: Simulation platform for memristor-based neuromorphic computing system , 2016, DATE 2016.
[36] D. Strukov,et al. Phenomenological modeling of memristive devices , 2014, 1406.4219.
[37] Wei Zhang,et al. Design Exploration of Hybrid CMOS and Memristor Circuit by New Modified Nodal Analysis , 2012, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[38] Uri C. Weiser,et al. TEAM: ThrEshold Adaptive Memristor Model , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.
[39] Dalibor Biolek,et al. Evaluation of memristor models for large crossbar structures , 2016, 2016 26th International Conference Radioelektronika (RADIOELEKTRONIKA).
[40] Dalibor Biolek,et al. SPICE Model of Memristor with Nonlinear Dopant Drift , 2009 .
[41] Jussi H. Poikonen,et al. FPAA/Memristor Hybrid Computing Infrastructure , 2015, IEEE Transactions on Circuits and Systems I: Regular Papers.