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Condensed Matter > Mesoscale and Nanoscale Physics
Title: Associative memory by virtual oscillator network based on single spin-torque oscillator
(Submitted on 22 Sep 2023 (v1), last revised 29 Mar 2024 (this version, v3))
Abstract: A coupled oscillator network may be able to perform an energy-efficient associative memory operation. However, its realization has been difficult because inhomogeneities unavoidably arise among the oscillators during fabrication and lead to an unreliable operation. This issue could be resolved if the oscillator network were able to be formed from a single oscillator. Here, we performed numerical simulations and theoretical analyses on an associative memory operation that uses a virtual oscillator network based on a spin-torque oscillator. The virtual network combines the concept of coupled oscillators with that of feedforward neural networks. Numerical experiments demonstrate successful associations of $60$-pixel patterns with various memorized patterns. Moreover, the origin of the associative memory is shown to be forced synchronization driven by feedforward input, where phase differences among oscillators are fixed and correspond to the colors of the pixels in the pattern.
Submission history
From: Tomohiro Taniguchi [view email][v1] Fri, 22 Sep 2023 22:23:58 GMT (3292kb,D)
[v2] Thu, 7 Mar 2024 03:26:43 GMT (3728kb,D)
[v3] Fri, 29 Mar 2024 09:01:39 GMT (3728kb,D)
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