Strong, V. ORCID: https://orcid.org/0000-0002-1762-1722, Holderbaum, W.
ORCID: https://orcid.org/0000-0002-1677-9624 and Hayashi, Y.
ORCID: https://orcid.org/0000-0002-9207-6322
(2024)
Electro-active polymer hydrogels exhibit emergent memory when embodied in a simulated game environment.
Cell Reports Physical Science.
ISSN 2666-3864
doi: 10.1016/j.xcrp.2024.102151
Abstract/Summary
The goal of artificial neural networks is to utilize the functions of biological brains to develop computational algorithms. However, these purely artificial implementations cannot achieve the adaptive behavior found in biological neural networks (BNNs) via their inherent memory. Alternative computing mediums that integrate biological neurons with computer hardware have shown similar emergent behavior via memory, as found in BNNs. By applying current theories in BNNs, can emergent memory functions be achieved with alternative mediums? Electro-active polymer (EAP) hydrogels were embedded in the simulated game-world of Pong via custom multi-electrode arrays and feedback between motor commands and stimulation. Through performance analysis within the game environment, emergent memory acquisition was demonstrated, driven by ion migration through the hydrogels.
Altmetric Badge
Item Type | Article |
URI | https://reading-clone.eprints-hosting.org/id/eprint/117919 |
Item Type | Article |
Refereed | Yes |
Divisions | Life Sciences > School of Biological Sciences > Biomedical Sciences |
Publisher | Elsevier |
Download/View statistics | View download statistics for this item |
Downloads
Downloads per month over past year
University Staff: Request a correction | Centaur Editors: Update this record