Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Electroforming-free BiFeO3 switches for neuromorphic computing: Spike-timing dependent plasticity (STDP) and cycle-number dependent plasticity (CNDP)

 
: Kiani, M.; Du, N.; Bürger, D.; Skorupa, I.; Ecke, R.; Schulz, S.E.; Schmidt, H.

:

Institute of Electrical and Electronics Engineers -IEEE-:
26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019 : 27-29 November 2019, Genoa, Italy
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-0997-8
ISBN: 978-1-7281-0996-1
S.682-686
International Conference on Electronics, Circuits and Systems (ICECS) <26, 2019, Genoa>
Englisch
Konferenzbeitrag
Fraunhofer ENAS ()

Abstract
Memristor technology will strongly influence the architecture of computer systems in the near future. Its potential in several application domains, e.g. in-memory information processing, neuromorphic computing, hardware cryptography, and machine learning makes it more than ever necessary to understand the underlying resistive switching mechanisms and to look for electroforming-free memristors. We have developed an electroforming-free bipolar memristor, namely BiFeO 3 , which emulates spike-timing dependent plasticity. Neuromorphic engineering takes advantage of artificial neurons and artificial synapses to mimic the most complicated human attributes, learning and unlearning. Here we discuss how BiFeO 3 memristors as artificial synapse and artificial neurons are used to implement both spike-timing dependent plasticity and cycle number dependent plasticity.

: http://publica.fraunhofer.de/dokumente/N-629198.html