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arXiv · 2211.03081

Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories

Saverio Ricci·David Kappel·Christian Tetzlaff·Daniele Ielmini·Erika Covi
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Abstract

The necessity of having an electronic device working in relevant biological time scales with a small footprint boosted the research of a new class of emerging memories. Ag-based volatile resistive switching memories (RRAMs) feature a spontaneous change of device conductance with a similarity to biological mechanisms. They rely on the formation and self-disruption of a metallic conductive filament through an oxide layer, with a retention time ranging from a few milliseconds to several seconds, greatly tunable according to the maximum current which is flowing through the device. Here we prove a neuromorphic system based on volatile-RRAMs able to mimic the principles of biological decision-making behavior and tackle the Two-Alternative Forced Choice problem, where a subject is asked to make a choice between two possible alternatives not relying on a precise knowledge of the problem, rather on noisy perceptions.

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Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi. 2022-11-06. Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories. https://doi.org/10.1109/icecs202256217.2022.9971100

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