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Anticipation of digital patterns
Author(s) -
Ochs Karlheinz,
Ziegler Martin,
HernandezGuevara Eloy,
Solan Enver,
Ignatov Marina,
Hansen Mirko,
Gill Mahal Singh,
Kohlstedt Hermann
Publication year - 2018
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.2381
Subject(s) - neuromorphic engineering , computer science , anticipation (artificial intelligence) , robustness (evolution) , electronic engineering , memristor , realization (probability) , focus (optics) , resistor , electrical engineering , artificial intelligence , voltage , engineering , artificial neural network , physics , mathematics , biochemistry , chemistry , statistics , optics , gene
Summary A memristive device is a novel passive device, which is essentially a resistor with memory. This device can be used for novel technical applications like neuromorphic computation. In this paper, we focus on anticipation—a capability of a system to decide how to react in an environment by predicting future states. Especially, we have designed an elementary memristive circuit for the anticipation of digital patterns, where this circuit is based on the capability of an amoeba to anticipate periodically occurring unipolar pulses. The resulting circuit has been verified by digital simulations and has been realized in hardware as well. For the practical realization, we have used an Ag‐doped TiO 2− x ‐based memristive device, which has been fabricated in planar capacitor structures on a silicon wafer. The functionality of the circuit is shown by simulations and measurements. Finally, the anticipation of information is demonstrated by using images, where the robustness of this anticipatory circuit against noise and faulty intermediate information is visualized.