Neuromorphic engineering (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Neuromorphic engineering" in English language version.

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acs.org

pubs.acs.org

Tomassoli, Laura; Silva-Dias, Leonardo; Dolnik, Milos; Epstein, Irving R.; Germani, Raimondo; Gentili, Pier Luigi (February 8, 2024). "Neuromorphic Engineering in Wetware: Discriminating Acoustic Frequencies through Their Effects on Chemical Waves". The Journal of Physical Chemistry B. 128 (5): 1241–1255. doi:10.1021/acs.jpcb.3c08429. ISSN 1520-6106. PMID 38285636.

aps.org

link.aps.org

Sharir, Or; Levine, Yoav; Wies, Noam; Carleo, Giuseppe; Shashua, Amnon (January 16, 2020). "Deep Autoregressive Models for the Efficient Variational Simulation of Many-Body Quantum Systems". Physical Review Letters. 124 (2): 020503. arXiv:1902.04057. Bibcode:2020PhRvL.124b0503S. doi:10.1103/PhysRevLett.124.020503. PMID 32004039.

arxiv.org

Maan, A. K.; Jayadevi, D. A.; James, A. P. (January 1, 2016). "A Survey of Memristive Threshold Logic Circuits". IEEE Transactions on Neural Networks and Learning Systems. PP (99): 1734–1746. arXiv:1604.07121. Bibcode:2016arXiv160407121M. doi:10.1109/TNNLS.2016.2547842. ISSN 2162-237X. PMID 27164608. S2CID 1798273.
Eshraghian, Jason K.; Ward, Max; Neftci, Emre; Wang, Xinxin; Lenz, Gregor; Dwivedi, Girish; Bennamoun, Mohammed; Jeong, Doo Seok; Lu, Wei D. (October 1, 2021). "Training Spiking Neural Networks Using Lessons from Deep Learning". arXiv:2109.12894 [cs.NE].
Sharad, Mrigank; Augustine, Charles; Panagopoulos, Georgios; Roy, Kaushik (2012). "Proposal For Neuromorphic Hardware Using Spin Devices". arXiv:1206.3227 [cond-mat.dis-nn].
Spagnolo, Michele; Morris, Joshua; Piacentini, Simone; Antesberger, Michael; Massa, Francesco; Crespi, Andrea; Ceccarelli, Francesco; Osellame, Roberto; Walther, Philip (April 2022). "Experimental photonic quantum memristor". Nature Photonics. 16 (4): 318–323. arXiv:2105.04867. Bibcode:2022NaPho..16..318S. doi:10.1038/s41566-022-00973-5. ISSN 1749-4893. S2CID 234358015.
News article: "Erster "Quanten-Memristor" soll KI und Quantencomputer verbinden". DER STANDARD (in Austrian German). Retrieved April 28, 2022.
Lay summary report: "Artificial neurons go quantum with photonic circuits". University of Vienna. Retrieved April 19, 2022.
Pehle, Christian; Wetterich, Christof (March 30, 2021), "Neuromorphic quantum computing", Physical Review E, 106 (4): 045311, arXiv:2005.01533, Bibcode:2022PhRvE.106d5311P, doi:10.1103/PhysRevE.106.045311
Wetterich, C. (November 1, 2019). "Quantum computing with classical bits". Nuclear Physics B. 948: 114776. arXiv:1806.05960. Bibcode:2019NuPhB.94814776W. doi:10.1016/j.nuclphysb.2019.114776. ISSN 0550-3213.
Pehle, Christian; Meier, Karlheinz; Oberthaler, Markus; Wetterich, Christof (October 24, 2018), Emulating quantum computation with artificial neural networks, arXiv:1810.10335
Carleo, Giuseppe; Troyer, Matthias (February 10, 2017). "Solving the quantum many-body problem with artificial neural networks". Science. 355 (6325): 602–606. arXiv:1606.02318. Bibcode:2017Sci...355..602C. doi:10.1126/science.aag2302. ISSN 0036-8075. PMID 28183973.
Torlai, Giacomo; Mazzola, Guglielmo; Carrasquilla, Juan; Troyer, Matthias; Melko, Roger; Carleo, Giuseppe (May 2018). "Neural-network quantum state tomography". Nature Physics. 14 (5): 447–450. arXiv:1703.05334. Bibcode:2018NatPh..14..447T. doi:10.1038/s41567-018-0048-5. ISSN 1745-2481.
Sharir, Or; Levine, Yoav; Wies, Noam; Carleo, Giuseppe; Shashua, Amnon (January 16, 2020). "Deep Autoregressive Models for the Efficient Variational Simulation of Many-Body Quantum Systems". Physical Review Letters. 124 (2): 020503. arXiv:1902.04057. Bibcode:2020PhRvL.124b0503S. doi:10.1103/PhysRevLett.124.020503. PMID 32004039.
Broughton, Michael; Verdon, Guillaume; McCourt, Trevor; Martinez, Antonio J.; Yoo, Jae Hyeon; Isakov, Sergei V.; Massey, Philip; Halavati, Ramin; Niu, Murphy Yuezhen (August 26, 2021), TensorFlow Quantum: A Software Framework for Quantum Machine Learning, arXiv:2003.02989
Di Ventra, Massimiliano (March 23, 2022), MemComputing vs. Quantum Computing: some analogies and major differences, arXiv:2203.12031
Wilkinson, Samuel A.; Hartmann, Michael J. (June 8, 2020). "Superconducting quantum many-body circuits for quantum simulation and computing". Applied Physics Letters. 116 (23). arXiv:2003.08838. Bibcode:2020ApPhL.116w0501W. doi:10.1063/5.0008202. ISSN 0003-6951.
Maan, A.K.; Kumar, D.S.; Sugathan, S.; James, A.P. (October 1, 2015). "Memristive Threshold Logic Circuit Design of Fast Moving Object Detection". IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 23 (10): 2337–2341. arXiv:1410.1267. doi:10.1109/TVLSI.2014.2359801. ISSN 1063-8210. S2CID 9647290.
James, A.P.; Francis, L.R.V.J.; Kumar, D.S. (January 1, 2014). "Resistive Threshold Logic". IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 22 (1): 190–195. arXiv:1308.0090. doi:10.1109/TVLSI.2012.2232946. ISSN 1063-8210. S2CID 7357110.
James, A.P.; Kumar, D.S.; Ajayan, A. (November 1, 2015). "Threshold Logic Computing: Memristive-CMOS Circuits for Fast Fourier Transform and Vedic Multiplication". IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 23 (11): 2690–2694. arXiv:1411.5255. doi:10.1109/TVLSI.2014.2371857. ISSN 1063-8210. S2CID 6076956.
Caravelli; et al. (2017). "The complex dynamics of memristive circuits: analytical results and universal slow relaxation". Physical Review E. 95 (2): 022140. arXiv:1608.08651. Bibcode:2017PhRvE..95b2140C. doi:10.1103/PhysRevE.95.022140. PMID 28297937. S2CID 6758362.
Caravelli; et al. (2021). "Global minimization via classical tunneling assisted by collective force field formation". Science Advances. 7 (52): 022140. arXiv:1608.08651. Bibcode:2021SciA....7.1542C. doi:10.1126/sciadv.abh1542. PMID 28297937. S2CID 231847346.

caltech.edu

authors.library.caltech.edu

Mead, Carver (1990). "Neuromorphic electronic systems" (PDF). Proceedings of the IEEE. 78 (10): 1629–1636. doi:10.1109/5.58356. S2CID 1169506.

derstandard.de

Spagnolo, Michele; Morris, Joshua; Piacentini, Simone; Antesberger, Michael; Massa, Francesco; Crespi, Andrea; Ceccarelli, Francesco; Osellame, Roberto; Walther, Philip (April 2022). "Experimental photonic quantum memristor". Nature Photonics. 16 (4): 318–323. arXiv:2105.04867. Bibcode:2022NaPho..16..318S. doi:10.1038/s41566-022-00973-5. ISSN 1749-4893. S2CID 234358015.
News article: "Erster "Quanten-Memristor" soll KI und Quantencomputer verbinden". DER STANDARD (in Austrian German). Retrieved April 28, 2022.
Lay summary report: "Artificial neurons go quantum with photonic circuits". University of Vienna. Retrieved April 19, 2022.

doi.org

Ham, Donhee; Park, Hongkun; Hwang, Sungwoo; Kim, Kinam (2021). "Neuromorphic electronics based on copying and pasting the brain". Nature Electronics. 4 (9): 635–644. doi:10.1038/s41928-021-00646-1. ISSN 2520-1131. S2CID 240580331.
van de Burgt, Yoeri; Lubberman, Ewout; Fuller, Elliot J.; Keene, Scott T.; Faria, Grégorio C.; Agarwal, Sapan; Marinella, Matthew J.; Alec Talin, A.; Salleo, Alberto (April 2017). "A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing". Nature Materials. 16 (4): 414–418. Bibcode:2017NatMa..16..414V. doi:10.1038/nmat4856. ISSN 1476-4660. PMID 28218920.
Mead, Carver (1990). "Neuromorphic electronic systems" (PDF). Proceedings of the IEEE. 78 (10): 1629–1636. doi:10.1109/5.58356. S2CID 1169506.
Rami A. Alzahrani; Alice C. Parker (July 2020). Neuromorphic Circuits With Neural Modulation Enhancing the Information Content of Neural Signaling. International Conference on Neuromorphic Systems 2020. pp. 1–8. doi:10.1145/3407197.3407204. S2CID 220794387.
Tomassoli, Laura; Silva-Dias, Leonardo; Dolnik, Milos; Epstein, Irving R.; Germani, Raimondo; Gentili, Pier Luigi (February 8, 2024). "Neuromorphic Engineering in Wetware: Discriminating Acoustic Frequencies through Their Effects on Chemical Waves". The Journal of Physical Chemistry B. 128 (5): 1241–1255. doi:10.1021/acs.jpcb.3c08429. ISSN 1520-6106. PMID 38285636.
Boddhu, S. K.; Gallagher, J. C. (2012). "Qualitative Functional Decomposition Analysis of Evolved Neuromorphic Flight Controllers". Applied Computational Intelligence and Soft Computing. 2012: 1–21. doi:10.1155/2012/705483.
Mead, Carver A.; Mahowald, M. A. (January 1, 1988). "A silicon model of early visual processing". Neural Networks. 1 (1): 91–97. doi:10.1016/0893-6080(88)90024-X. ISSN 0893-6080.
Furber, Steve (2016). "Large-scale neuromorphic computing systems". Journal of Neural Engineering. 13 (5): 1–15. Bibcode:2016JNEng..13e1001F. doi:10.1088/1741-2560/13/5/051001. PMID 27529195.
Maan, A. K.; Jayadevi, D. A.; James, A. P. (January 1, 2016). "A Survey of Memristive Threshold Logic Circuits". IEEE Transactions on Neural Networks and Learning Systems. PP (99): 1734–1746. arXiv:1604.07121. Bibcode:2016arXiv160407121M. doi:10.1109/TNNLS.2016.2547842. ISSN 2162-237X. PMID 27164608. S2CID 1798273.
Zhou, You; Ramanathan, S. (August 1, 2015). "Mott Memory and Neuromorphic Devices". Proceedings of the IEEE. 103 (8): 1289–1310. doi:10.1109/JPROC.2015.2431914. ISSN 0018-9219. S2CID 11347598.
Farquhar, Ethan; Hasler, Paul. (May 2006). "A Field Programmable Neural Array". 2006 IEEE International Symposium on Circuits and Systems. pp. 4114–4117. doi:10.1109/ISCAS.2006.1693534. ISBN 978-0-7803-9389-9. S2CID 206966013.
Poon, Chi-Sang; Zhou, Kuan (2011). "Neuromorphic silicon neurons and large-scale neural networks: challenges and opportunities". Frontiers in Neuroscience. 5: 108. doi:10.3389/fnins.2011.00108. PMC 3181466. PMID 21991244.
Pickett, M. D.; Medeiros-Ribeiro, G.; Williams, R. S. (2012). "A scalable neuristor built with Mott memristors". Nature Materials. 12 (2): 114–7. Bibcode:2013NatMa..12..114P. doi:10.1038/nmat3510. PMID 23241533. S2CID 16271627.
Matthew D Pickett & R Stanley Williams (September 2013). "Phase transitions enable computational universality in neuristor-based cellular automata". Nanotechnology. 24 (38). IOP Publishing Ltd. 384002. Bibcode:2013Nanot..24L4002P. doi:10.1088/0957-4484/24/38/384002. PMID 23999059. S2CID 9910142.
Boahen, Kwabena (April 24, 2014). "Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations". Proceedings of the IEEE. 102 (5): 699–716. doi:10.1109/JPROC.2014.2313565. S2CID 17176371.
Waldrop, M. Mitchell (2013). "Neuroelectronics: Smart connections". Nature. 503 (7474): 22–4. Bibcode:2013Natur.503...22W. doi:10.1038/503022a. PMID 24201264.
Benjamin, Ben Varkey; Peiran Gao; McQuinn, Emmett; Choudhary, Swadesh; Chandrasekaran, Anand R.; Bussat, Jean-Marie; Alvarez-Icaza, Rodrigo; Arthur, John V.; Merolla, Paul A.; Boahen, Kwabena (2014). "Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations". Proceedings of the IEEE. 102 (5): 699–716. doi:10.1109/JPROC.2014.2313565. S2CID 17176371.
Modha, Dharmendra (August 2014). "A million spiking-neuron integrated circuit with a scalable communication network and interface". Science. 345 (6197): 668–673. Bibcode:2014Sci...345..668M. doi:10.1126/science.1254642. PMID 25104385. S2CID 12706847.
Spagnolo, Michele; Morris, Joshua; Piacentini, Simone; Antesberger, Michael; Massa, Francesco; Crespi, Andrea; Ceccarelli, Francesco; Osellame, Roberto; Walther, Philip (April 2022). "Experimental photonic quantum memristor". Nature Photonics. 16 (4): 318–323. arXiv:2105.04867. Bibcode:2022NaPho..16..318S. doi:10.1038/s41566-022-00973-5. ISSN 1749-4893. S2CID 234358015.
News article: "Erster "Quanten-Memristor" soll KI und Quantencomputer verbinden". DER STANDARD (in Austrian German). Retrieved April 28, 2022.
Lay summary report: "Artificial neurons go quantum with photonic circuits". University of Vienna. Retrieved April 19, 2022.
Onen, Murat; Emond, Nicolas; Wang, Baoming; Zhang, Difei; Ross, Frances M.; Li, Ju; Yildiz, Bilge; del Alamo, Jesús A. (July 29, 2022). "Nanosecond protonic programmable resistors for analog deep learning" (PDF). Science. 377 (6605): 539–543. Bibcode:2022Sci...377..539O. doi:10.1126/science.abp8064. ISSN 0036-8075. PMID 35901152. S2CID 251159631.
Davies, Mike; et al. (January 16, 2018). "Loihi: A Neuromorphic Manycore Processor with On-Chip Learning". IEEE Micro. 38 (1): 82–99. doi:10.1109/MM.2018.112130359. S2CID 3608458.
"Neuromrophic Quantum Computing | Quromorphic Project | Fact Sheet | H2020". CORDIS | European Commission. doi:10.3030/828826. Retrieved March 18, 2024.
Pehle, Christian; Wetterich, Christof (March 30, 2021), "Neuromorphic quantum computing", Physical Review E, 106 (4): 045311, arXiv:2005.01533, Bibcode:2022PhRvE.106d5311P, doi:10.1103/PhysRevE.106.045311
Wetterich, C. (November 1, 2019). "Quantum computing with classical bits". Nuclear Physics B. 948: 114776. arXiv:1806.05960. Bibcode:2019NuPhB.94814776W. doi:10.1016/j.nuclphysb.2019.114776. ISSN 0550-3213.
Carleo, Giuseppe; Troyer, Matthias (February 10, 2017). "Solving the quantum many-body problem with artificial neural networks". Science. 355 (6325): 602–606. arXiv:1606.02318. Bibcode:2017Sci...355..602C. doi:10.1126/science.aag2302. ISSN 0036-8075. PMID 28183973.
Torlai, Giacomo; Mazzola, Guglielmo; Carrasquilla, Juan; Troyer, Matthias; Melko, Roger; Carleo, Giuseppe (May 2018). "Neural-network quantum state tomography". Nature Physics. 14 (5): 447–450. arXiv:1703.05334. Bibcode:2018NatPh..14..447T. doi:10.1038/s41567-018-0048-5. ISSN 1745-2481.
Sharir, Or; Levine, Yoav; Wies, Noam; Carleo, Giuseppe; Shashua, Amnon (January 16, 2020). "Deep Autoregressive Models for the Efficient Variational Simulation of Many-Body Quantum Systems". Physical Review Letters. 124 (2): 020503. arXiv:1902.04057. Bibcode:2020PhRvL.124b0503S. doi:10.1103/PhysRevLett.124.020503. PMID 32004039.
Wilkinson, Samuel A.; Hartmann, Michael J. (June 8, 2020). "Superconducting quantum many-body circuits for quantum simulation and computing". Applied Physics Letters. 116 (23). arXiv:2003.08838. Bibcode:2020ApPhL.116w0501W. doi:10.1063/5.0008202. ISSN 0003-6951.
Maan, A.K.; James, A.P.; Dimitrijev, S. (2015). "Memristor pattern recogniser: isolated speech word recognition". Electronics Letters. 51 (17): 1370–1372. Bibcode:2015ElL....51.1370M. doi:10.1049/el.2015.1428. hdl:10072/140989. S2CID 61454815.
Maan, Akshay Kumar; Kumar, Dinesh S.; James, Alex Pappachen (January 1, 2014). "Memristive Threshold Logic Face Recognition". Procedia Computer Science. 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014 BICA. 41: 98–103. doi:10.1016/j.procs.2014.11.090. hdl:10072/68372.
Maan, A.K.; Kumar, D.S.; Sugathan, S.; James, A.P. (October 1, 2015). "Memristive Threshold Logic Circuit Design of Fast Moving Object Detection". IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 23 (10): 2337–2341. arXiv:1410.1267. doi:10.1109/TVLSI.2014.2359801. ISSN 1063-8210. S2CID 9647290.
James, A.P.; Francis, L.R.V.J.; Kumar, D.S. (January 1, 2014). "Resistive Threshold Logic". IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 22 (1): 190–195. arXiv:1308.0090. doi:10.1109/TVLSI.2012.2232946. ISSN 1063-8210. S2CID 7357110.
James, A.P.; Kumar, D.S.; Ajayan, A. (November 1, 2015). "Threshold Logic Computing: Memristive-CMOS Circuits for Fast Fourier Transform and Vedic Multiplication". IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 23 (11): 2690–2694. arXiv:1411.5255. doi:10.1109/TVLSI.2014.2371857. ISSN 1063-8210. S2CID 6076956.
Caravelli; et al. (2017). "The complex dynamics of memristive circuits: analytical results and universal slow relaxation". Physical Review E. 95 (2): 022140. arXiv:1608.08651. Bibcode:2017PhRvE..95b2140C. doi:10.1103/PhysRevE.95.022140. PMID 28297937. S2CID 6758362.
Caravelli; et al. (2021). "Global minimization via classical tunneling assisted by collective force field formation". Science Advances. 7 (52): 022140. arXiv:1608.08651. Bibcode:2021SciA....7.1542C. doi:10.1126/sciadv.abh1542. PMID 28297937. S2CID 231847346.
Abraham, Isaac (July 20, 2018). "The case for rejecting the memristor as a fundamental circuit element". Scientific Reports. 8 (1): 10972. Bibcode:2018NatSR...810972A. doi:10.1038/s41598-018-29394-7. ISSN 2045-2322. PMC 6054652. PMID 30030498.
Skorka, Orit (July 1, 2011). "Toward a digital camera to rival the human eye". Journal of Electronic Imaging. 20 (3): 033009–033009–18. Bibcode:2011JEI....20c3009S. doi:10.1117/1.3611015. ISSN 1017-9909.
Sarkar, Tanmoy; Lieberth, Katharina; Pavlou, Aristea; Frank, Thomas; Mailaender, Volker; McCulloch, Iain; Blom, Paul W. M.; Torriccelli, Fabrizio; Gkoupidenis, Paschalis (November 7, 2022). "An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing". Nature Electronics. 5 (11): 774–783. doi:10.1038/s41928-022-00859-y. hdl:10754/686016. ISSN 2520-1131. S2CID 253413801.
"Artificial neurons emulate biological counterparts to enable synergetic operation". Nature Electronics. 5 (11): 721–722. November 10, 2022. doi:10.1038/s41928-022-00862-3. ISSN 2520-1131. S2CID 253469402.
Lim, Daniel (June 1, 2014). "Brain simulation and personhood: a concern with the Human Brain Project". Ethics and Information Technology. 16 (2): 77–89. doi:10.1007/s10676-013-9330-5. ISSN 1572-8439. S2CID 17415814.
Eshraghian, Jason K. (March 9, 2020). "Human Ownership of Artificial Creativity". Nature Machine Intelligence. 2 (3): 157–160. doi:10.1038/s42256-020-0161-x. S2CID 215991449.

dx.doi.org

Mead, Carver A.; Mahowald, M. A. (January 1, 1988). "A silicon model of early visual processing". Neural Networks. 1 (1): 91–97. doi:10.1016/0893-6080(88)90024-X. ISSN 0893-6080.

economist.com

Neuromorphic computing: The machine of a new soul, The Economist, 2013-08-03

electronics-lab.com

"First mini PCIexpress board with spiking neural network chip". January 19, 2022.

europa.eu

cordis.europa.eu

"Neuromrophic Quantum Computing | Quromorphic Project | Fact Sheet | H2020". CORDIS | European Commission. doi:10.3030/828826. Retrieved March 18, 2024.

ec.europa.eu

European Commission (September 2012). "Special Eurobarometer 382: Public Attitudes Towards Robots" (PDF). European Commission.

extremetech.com

"MIT creates "brain chip"". Retrieved December 4, 2012.

github.com

"Hananel-Hazan/bindsnet: Simulation of spiking neural networks (SNNs) using PyTorch". GitHub. March 31, 2020.

handle.net

hdl.handle.net

Maan, A.K.; James, A.P.; Dimitrijev, S. (2015). "Memristor pattern recogniser: isolated speech word recognition". Electronics Letters. 51 (17): 1370–1372. Bibcode:2015ElL....51.1370M. doi:10.1049/el.2015.1428. hdl:10072/140989. S2CID 61454815.
Maan, Akshay Kumar; Kumar, Dinesh S.; James, Alex Pappachen (January 1, 2014). "Memristive Threshold Logic Face Recognition". Procedia Computer Science. 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014 BICA. 41: 98–103. doi:10.1016/j.procs.2014.11.090. hdl:10072/68372.
Sarkar, Tanmoy; Lieberth, Katharina; Pavlou, Aristea; Frank, Thomas; Mailaender, Volker; McCulloch, Iain; Blom, Paul W. M.; Torriccelli, Fabrizio; Gkoupidenis, Paschalis (November 7, 2022). "An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing". Nature Electronics. 5 (11): 774–783. doi:10.1038/s41928-022-00859-y. hdl:10754/686016. ISSN 2520-1131. S2CID 253413801.

harvard.edu

ui.adsabs.harvard.edu

van de Burgt, Yoeri; Lubberman, Ewout; Fuller, Elliot J.; Keene, Scott T.; Faria, Grégorio C.; Agarwal, Sapan; Marinella, Matthew J.; Alec Talin, A.; Salleo, Alberto (April 2017). "A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing". Nature Materials. 16 (4): 414–418. Bibcode:2017NatMa..16..414V. doi:10.1038/nmat4856. ISSN 1476-4660. PMID 28218920.
Furber, Steve (2016). "Large-scale neuromorphic computing systems". Journal of Neural Engineering. 13 (5): 1–15. Bibcode:2016JNEng..13e1001F. doi:10.1088/1741-2560/13/5/051001. PMID 27529195.
Maan, A. K.; Jayadevi, D. A.; James, A. P. (January 1, 2016). "A Survey of Memristive Threshold Logic Circuits". IEEE Transactions on Neural Networks and Learning Systems. PP (99): 1734–1746. arXiv:1604.07121. Bibcode:2016arXiv160407121M. doi:10.1109/TNNLS.2016.2547842. ISSN 2162-237X. PMID 27164608. S2CID 1798273.
Pickett, M. D.; Medeiros-Ribeiro, G.; Williams, R. S. (2012). "A scalable neuristor built with Mott memristors". Nature Materials. 12 (2): 114–7. Bibcode:2013NatMa..12..114P. doi:10.1038/nmat3510. PMID 23241533. S2CID 16271627.
Matthew D Pickett & R Stanley Williams (September 2013). "Phase transitions enable computational universality in neuristor-based cellular automata". Nanotechnology. 24 (38). IOP Publishing Ltd. 384002. Bibcode:2013Nanot..24L4002P. doi:10.1088/0957-4484/24/38/384002. PMID 23999059. S2CID 9910142.
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Modha, Dharmendra (August 2014). "A million spiking-neuron integrated circuit with a scalable communication network and interface". Science. 345 (6197): 668–673. Bibcode:2014Sci...345..668M. doi:10.1126/science.1254642. PMID 25104385. S2CID 12706847.
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