Memory Block Development for Neuromorph Setup: experimental study

In this study, we experimentally realized and tested a “Memory” block based on a network of four chemical oscillators connected in a circular arrangement with inhibitory pulse couplings, regulated by Hebb’s rules. Here, memory is conceptualized as the transition between internal dynamic modes of the network in response to external signals. We observed the switching from one stable network mode, AP (antiphase), to another, WR (walk reverse), facilitated by the management of auxiliary cells responsible for regulating connection strength. This “Memory” block will be utilized in future neuromorphic devices.

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Publication Details

Published
2024-09-19
DOI
https://doi.org/10.1109/dcna63495.2024.10718642
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.21

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article

Memory Block Development for Neuromorph Setup: experimental study

Anastasia I. Lavrova, Ivan S. Proskurkin, Efimov Alexandr
1 citations
Advanced Memory and Neural Computing
0.21
article

Memory Block Development for Neuromorph Setup: experimental study

Anastasia I. Lavrova, Ivan S. Proskurkin, Efimov Alexandr
article en
1 citations

Abstract

In this study, we experimentally realized and tested a “Memory” block based on a network of four chemical oscillators connected in a circular arrangement with inhibitory pulse couplings, regulated by Hebb’s rules. Here, memory is conceptualized as the transition between internal dynamic modes of the network in response to external signals. We observed the switching from one stable network mode, AP (antiphase), to another, WR (walk reverse), facilitated by the management of auxiliary cells responsible for regulating connection strength. This “Memory” block will be utilized in future neuromorphic devices.

Immanuel Kant Baltic Federal University (RU), St Petersburg University (RU), Saint-Petersburg Research Institute of Phthisiopulmonology (RU)
Russian Science Foundation
Openalex Percentile: Top 47%
Advanced Memory and Neural Computing
0.21
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