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Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing
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Cites
Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks
Bertschinger, N., & Natschläger, T. (2004) · Neural Computation · doi:10.1162/089976604323057443 · Cited by 833
ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars
Shafiee, A., Nag, A., Muralimanohar, N., Balasubramonian, R., Strachan, J. P., Hu, M., Williams, R. S., & Srikumar, V. (2016) · 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA) · doi:10.1109/isca.2016.12 · Cited by 775
Self-citationPickett, M. D., & Stanley Williams, R. (2012) · Nanotechnology · doi:10.1088/0957-4484/23/21/215202 · Cited by 385
Memristor, Hodgkin–Huxley, and Edge of Chaos
Chua, L. (2013) · Nanotechnology · doi:10.1088/0957-4484/24/38/383001 · Cited by 253
Research works printed but not linked: 25
- Chua, L., Sbitnev, V. & Kim, H. Neurons are poised near the edge of chaos. Int. J. Bifurc. Chaos 22, 1250098 (2012) · DOI · Paper page
- Seifter, J. & Reggia, J. A. Lambda and the edge of chaos in recurrent neural networks. Artif. Life 21, 55–71 (2015) · DOI
- Kauffman, S. A. Requirements for evolvability in complex systems: orderly dynamics and frozen components. Physica D 42, 135–152 (1990) · DOI
- Suzuki, H., Imura, J.-i., Horio, Y. & Aihara, K. Chaotic Boltzmann machines. Sci. Rep. 3, 1610 (2013) · DOI
- Crutchfield, J. P. Between order and chaos. Nat. Phys. 8, 17–24 (2012) · DOI · Paper page
- Whitfield, J. Complex systems: order out of chaos. Nature 436, 905–907 (2005) · DOI
- Chen, L. & Aihara, K. Chaotic simulated annealing by a neural network model with transient chaos. Neural Netw. 8, 915–930 (1995) · DOI · Paper page
- Hu, X., Chen, G., Duan, S. & Feng, G. in Memristor Networks (eds Adamatzky, A. & Chua, L. ) 351–364 (Springer, 2013) · DOI
- Ditto, W. L., Murali, K. & Sinha, S. Chaos computing: ideas and implementations. Phil. Trans. R. Soc. Lond. A 366, 653–664 (2008) · doi:10.1098/rsta.2007.2116
- Driscoll, T., Pershin, Y. V., Basov, D. N. & Di Ventra, M. Chaotic memristor. Appl. Phys. A 102, 885–889 (2011) · DOI
- Wang, G., Cui, M., Cai, B., Wang, X. & Hu, T. A chaotic oscillator based on HP memristor model. Math. Probl. Eng. 2015, 561901 (2015)
- Muthuswamy, B. & Chua, L. O. Simplest chaotic circuit. Int. J. Bifurc. Chaos 20, 1567–1580 (2010) · DOI · Paper page
- Pickett, M. D. & Williams, R. S. Phase transitions enable computational universality in neuristor-based cellular automata. Nanotechnology 24, 384002 (2013) · DOI
- Gibson, G. A. et al. An accurate locally active memristor model for S-type negative differential resistance in NbOx . Appl. Phys. Lett. 108, 023505 (2016) · DOI · Paper page
- Mainzer, K . & Chua, L. Local Activity Principle (Imperial College Press, 2013) · DOI
- Ascoli, A., Slesazeck, S., Mahne, H., Tetzlaff, R. & Mikolajick, T. Nonlinear dynamics of a locally-active memristor. IEEE Trans. Circ. Syst. 62, 1165–1174 (2015)
- Guckenheimer, J . & Holmes, P. Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields 117–165 (Springer, 1983) · DOI
- Mannan, Z. I., Choi, H. & Kim, H. Chua corsage memristor oscillator via Hopf bifurcation. Int. J. Bifurc. Chaos 26, 1630009 (2016) · DOI
- Chua, L. O. Local activity is the origin of complexity. Int. J. Bifurc. Chaos 15, 3435–3456 (2005) · DOI · Paper page
- Ott, E. Chaos in Dynamical Systems (Cambridge Univ. Press, 2002) · DOI · Paper page
- Pickett, M. D., Borghetti, J., Yang, J. J., Medeiros-Ribeiro, G. & Williams, R. S. Coexistence of memristance and negative differential resistance in a nanoscale metal-oxide-metal system. Adv. Mater. 23, 1730–1733 (2011) · DOI
- Hopfield, J. J. & Tank, D. W. “Neural” computation of decisions in optimization problems. Biol. Cybern. 52, 141–152 (1985) · DOI · Paper page
- Kruse, R ., Borgelt, C ., Braune, C ., Mostaghim, S . & Steinbrecher, M. Computational Intelligence: A Methodological Introduction Ch. 8, 131–157 (Springer, 2016) · DOI
- Hu, M . et al. Dot-product engine for neuromorphic computing: programming 1T1M crossbar to accelerate matrix-vector multiplication. In IEEE Conf. Design Automation http://ieeexplore.ieee.org/document/7544263/ (IEEE, 2016)
- Kumar, S. et al. Spatially uniform resistance switching of low current, high endurance titanium–niobium-oxide memristors. Nanoscale 9, 1793–1798 (2017) · DOI
Cited by
Memory devices and applications for in-memory computing
Sebastian, A., Le Gallo, M., Khaddam-Aljameh, R., & Eleftheriou, E. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0655-z · Cited by 2,289
Fully hardware-implemented memristor convolutional neural network
Yao, P., Wu, H., Gao, B., Tang, J., Zhang, Q., Zhang, W., Yang, J. J., & Qian, H. (2020) · Nature · doi:10.1038/s41586-020-1942-4 · Cited by 2,179
The future of electronics based on memristive systems
Zidan, M. A., Strachan, J. P., & Lu, W. D. (2018) · Nature Electronics · doi:10.1038/s41928-017-0006-8 · Cited by 2,138
Self-citationResistive switching materials for information processing
Wang, Z., Wu, H., Burr, G. W., Hwang, C. S., Wang, K. L., Xia, Q., & Yang, J. J. (2020) · Nature Reviews Materials · doi:10.1038/s41578-019-0159-3 · Cited by 1,214
Neuromorphic nanoelectronic materials
Sangwan, V. K., & Hersam, M. C. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0647-z · Cited by 890
Metadata
- Authors
- Kumar, S., Strachan, J. P., & Williams, R. S.
- Venue
- Nature
- Published
- 2017-08
- Volume
- 548
- Issue
- 7667
- Pages
- 318-321
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2743455512
- Cited by
- 617
- References
- 4
- FWCI
- 22.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
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