Demonstration of neuromorphic sequence learning on a memristive array-Reference-Cited by-同舟云学术

Demonstration of neuromorphic sequence learning on a memristive array

Published:2023-04-11 Issue: Volume: Page:
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Container-title:Neuro-Inspired Computational Elements Conference
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Author:

Siegel Sebastian¹^ORCID,Ziegler Tobias²^ORCID,Bouhadjar Younes³^ORCID,Tetzlaff Tom³^ORCID,Waser Rainer⁴^ORCID,Dittmann Regina⁵^ORCID,Wouters Dirk⁶^ORCID

Affiliation:

1. Peter-Grünberg-Insitute (PGI-10), Forschungszentrum Jülich GmbH, Germany

2. Institute for Electronic Materials (IWE2), RWTH Aachen University, Germany

3. Insitute for Neuroscience and Medicine (INM-6), Forschungszentrum Jülich GmbH, Germany

4. Peter-Grünberg-Insitute (PGI-7/10), Forschungszentrum Jülich GmbH, Germany and Institute for Electronic Materials (IWE2), RWTH Aachen University, Germany

5. Peter-Grünberg-Insitute (PGI-7), Forschungszentrum Jülich GmbH, Germany

6. Institute for Electronic Materials 2 (IWE2), RWTH Aachen University, Germany

Funder

Federal Ministry of Education and Research (BMBF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3584954.3585000

Reference18 articles.

1. Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals

2. DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

3. AI at the Edge for Sign Language Learning Support

4. Younes Bouhadjar , Sebastian Siegel , Tom Tetzlaff , Markus Diesmann , Rainer Waser , and Dirk J Wouters . 2022. Sequence learning in a spiking neuronal network with memristive synapses. ArXiv ( 2022 ), 2211.16592. Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer Waser, and Dirk J Wouters. 2022. Sequence learning in a spiking neuronal network with memristive synapses. ArXiv (2022), 2211.16592.

5. Sequence learning, prediction, and replay in networks of spiking neurons

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