System model of neuromorphic sequence learning on a memristive crossbar array

Autor: Sebastian Siegel, Younes Bouhadjar, Tom Tetzlaff, Rainer Waser, Regina Dittmann, Dirk J Wouters

Publikováno v: Neuromorphic Computing and Engineering, Vol 3, Iss 2, p 024002 (2023)

Machine learning models for sequence learning and processing often suffer from high energy consumption and require large amounts of training data. The brain presents more efficient solutions to how these types of tasks can be solved. While this has i

Externí odkaz: https://doaj.org/article/75913a6a572743bbb386339ea2ae5e3a

Demonstration of neuromorphic sequence learning on a memristive array

Autor: Sebastian Siegel, Tobias Ziegler, Younes Bouhadjar, Tom Tetzlaff, Rainer Waser, Regina Dittmann, Dirk Wouters

Publikováno v: ACM New York, NY, USA 1 pp. (2023). doi:10.1145/3584954.3585000
Neuro-Inspired Computational Elements Conference : [Proceedings]-ACM New York, NY, USA, 2023.-ISBN 9781450399470-doi:10.1145/3584954.3585000
Neuro-Inspired Computational Elements Conference : [Proceedings]-ACM New York, NY, USA, 2023.-ISBN 9781450399470-doi:10.1145/3584954.3585000NICE 2023: Neuro-Inspired Computational Elements Conference, San Antonio TX USA, USA, 2023-04-03-2023-04-07

Sequence learning and prediction are considered principle computations performed by biological brains. Machine learning algorithms solve this type of task, but they require large amounts of training data and a substantial energy budget. An approach t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::236796fcde67cfba63d7a0602542387a
https://juser.fz-juelich.de/record/1006783

Synaptic and neuromorphic functions: general discussion

Autor: Itir Koymen, Sweety Deswal, Asal Kiazadeh, Alexandra I. Berg, Anthony J. Kenyon, Carlo Ricciardi, Yang Li, Yuchao Yang, Daniele Ielmini, Daniel J. Mannion, Ella Gale, Themis Prodromakis, Ilia Valov, Simon Brown, Jonas Deuermeier, Stefano Brivio, Dirk J. Wouters, Maximilian Speckbacher, R. Stanley Williams, Sebastian Siegel, Hyunsang Hwang, Giacomo Indiveri, Geoffrey W. Burr, Michael N. Kozicki, Wei Wang

Publikováno v: Berg, S, Brivio, S, Brown, S, Burr, G, Deswal, S, Deuermeier, J, Gale, E, Hwang, H, Ielmini, D, Indiveri, G, Kenyon, T, Kiazadeh, A, Köymen, I, Kozicki, M, Li, Y, Mannion, D, Prodromakis, T, Ricciardi, C, Siegel, S, Speckbacher, M, Valov, I, Wang, W, Williams, S, Wouters, D & Yang, Y 2019, ' Synaptic and neuromorphic functions: general discussion ', Faraday Discussions, vol. 213, pp. 553-578 . https://doi.org/10.1039/C8FD90065E

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3bb5f5bca4d1af7a2c3609c6cf8934c
https://doi.org/10.1039/c8fd90065e

Trade-Off Between Data Retention and Switching Speed in Resistive Switching ReRAM Devices

Autor: Alexander Gutsche, Sebastian Siegel, Regina Dittmann, Rainer Waser, Stephan Menzel, Christoph Baeumer, Moritz von Witzleben

Publikováno v: Advanced electronic materials 7(1), 2000815 (2020). doi:10.1002/aelm.202000815
Advanced Electronic Materials
Advanced electronic materials 7(1), 2000815 (2021). doi:10.1002/aelm.202000815

Advanced electronic materials -, 2000815 - (2020). doi:10.1002/aelm.202000815
Published by Wiley-VCH Verlag GmbH & Co. KG, Weinheim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce7fc6b3695a9482bf2e64a4bba9b615

(Invited) Impact of Stoichiometry and Interface Configuration on the Time Stability and the Speed-Limiting Step in Memristive SrTiO3 Cells

Autor: Regina Dittmann, Christoph Bäumer, Sebastian Siegel, Felix V. E. Hensling, Thomas Heisig, Alexander Gutsche, Stephan Menzel

Publikováno v: ECS Meeting Abstracts. :1225-1225

Resistive switching oxides are promising candidates for future non-volatile memory and for functional units of neuromorphic computing. Epitaxial SrTiO3 thin films can be regarded as model system for resistive switching thin films due to their well-kn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d871f7b09f61b4264374f7619a8f8493
https://doi.org/10.1149/ma2019-02/27/1225