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Learning in colloids: Synapse-like ZnO + DMSO colloid

Kheirabadi, Noushin Raeisi; Chiolerio, Alessandro; Phillips, Neil; Adamatzky, Andrew

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Noushin Raeisi Kheirabadi

Alessandro Chiolerio

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Dr Neil Phillips
Research Fellow in Fungal Analog Electronics


Colloids subjected to electrical stimuli exhibit a reconfiguration that might be used to store information and potentially compute. In a colloidal suspension of ZnO nanoparticles in DMSO, we investigated the learning, memorization, time and stimulation's voltage dependence of conductive network formation. The relationships between the critical resistance and stimulation time have been reconstructed. The critical voltage (i.e., the stimulation voltage required to drop the resistance) was found to decrease as stimulation time increased. We characterized a dispersion of conductive ZnO nanoparticles in the DMSO polymeric matrix using FESEM and UV–visible absorption spectrum.

Journal Article Type Article
Acceptance Date Aug 15, 2023
Online Publication Date Aug 19, 2023
Publication Date Nov 7, 2023
Deposit Date Nov 8, 2023
Publicly Available Date Nov 9, 2023
Journal Neurocomputing
Print ISSN 0925-2312
Electronic ISSN 1872-8286
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 557
Article Number 126710
Public URL


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