% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Bouhadjar:1022226,
      author       = {Bouhadjar, Younes and Siegel, Sebastian and Diesmann,
                      Markus and Waser, R. and Neftci, Emre and Wouters, Dirk J.
                      and Tetzlaff, Tom},
      title        = {{B}io-inspired sequence learning mechanisms and their
                      implementation in a memristive neuromorphic hardware},
      issn         = {1553-734X},
      reportid     = {FZJ-2024-01347},
      year         = {2023},
      abstract     = {We present a sequence learning model that explains how
                      biological networks learn to predict upcoming elements,
                      signal non-anticipated events, and recall sequences in
                      response to a cue signal. The model accounts for anatomical
                      and electrophysiological properties of cortical neuronal
                      circuits and learns complex sequences in an unsupervised
                      manner using known biological plasticity and homeostatic
                      control mechanisms. We further investigate the feasibility
                      of implementing the sequence learning model on dedicated
                      hardware mimicking brain properties, specifically focusing
                      on memristive crossbar arrays. Finally, we apply the model
                      to sequence classification and anomaly detection in streams
                      of real-world data, and discuss the role of dendritic
                      branches for the sequence learning capacity.},
      month         = {Oct},
      date          = {2023-10-25},
      organization  = {Neuromorphic, Natural and Physical
                       Computing, Hannover (Germany), 25 Oct
                       2023 - 27 Oct 2023},
      subtyp        = {After Call},
      cin          = {INM-6 / IAS-6 / INM-10 / PGI-7 / PGI-10 / PGI-15},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)INM-10-20170113 / I:(DE-Juel1)PGI-7-20110106 /
                      I:(DE-Juel1)PGI-10-20170113 / I:(DE-Juel1)PGI-15-20210701},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / 5232 -
                      Computational Principles (POF4-523) / 5234 - Emerging NC
                      Architectures (POF4-523) / Advanced Computing Architectures
                      $(aca_20190115)$ / HBP SGA2 - Human Brain Project Specific
                      Grant Agreement 2 (785907) / HBP SGA3 - Human Brain Project
                      Specific Grant Agreement 3 (945539) / DFG project 491111487
                      - Open-Access-Publikationskosten / 2022 - 2024 /
                      Forschungszentrum Jülich (OAPKFZJ) (491111487)},
      pid          = {G:(DE-HGF)POF3-574 / G:(DE-HGF)POF4-5232 /
                      G:(DE-HGF)POF4-5234 / $G:(DE-Juel1)aca_20190115$ /
                      G:(EU-Grant)785907 / G:(EU-Grant)945539 /
                      G:(GEPRIS)491111487},
      typ          = {PUB:(DE-HGF)6},
      doi          = {10.34734/FZJ-2024-01347},
      url          = {https://juser.fz-juelich.de/record/1022226},
}