An Electronic Version of Pavlov’s Dog (Neuromorphic plasticity)

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Format: Journal Abstract
Title: “An Electronic Version of Pavlov’s Dog” [Neuromorphic Plasticity]
Authors: Martin Ziegler, Rohit Soni, Timo Patelczyk, Marina Ignatov, Hermann Kohlstedt: Nanoelektronik, Technische Fakultät, Christian-Albrechts-Universität zu Kiel Germany, Thorsten Bartsch: Klinik für Neurologie, Universitätsklinikum Schleswig-Holstein, Christian Albrechts-Universität Kiel Germany, Paul Meuffels: Peter Grünberg Institut, Forschungszentrum Jülich GmbH, Jülich Germany
Source: Advanced Functional Materials (2012)
Publication Date: (online preview only) 10 April 2012
(c) Attribution: © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

Synopsis: “… A memristive device, together with inexpensive analogue electronic circuitry, enables one to mimic all forms of implicit memory. Different threshold voltages for the memristive device and the analogue electronic circuitry are essential in considering memristive devices as realistic substitutes for basic building blocks in neuromorphic circuits. […] An emerging task in the field of neuromorphic engineering is to mimic neural pathways via elegant technological approaches to close the gap between biological and digital computing. In this respect, functional, memristive devices are considered promising candidates with yet unknown benefit for neuromorphic circuits. It is demonstrated that a single Pt/Ge0.3Se0.7/SiO2/Cu memristive device implemented in an analogue circuitry mimics non-associative and associative types of learning. For Pavlovian conditioning, different threshold voltages for the memristive device and the comparator are essential. Similarities to neurobiological correlates of learning are discussed in the framework of hebbian learning rule, plasticity, and long-term potentiation.”

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