Pavlovian reflex in colloids

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

Abstract

Liquid computers are devices that utilise the properties of liquid volumes or reactants to represent data and outputs. A recent development in this field is the emergence of colloid computers, which employ electromagnetic interactions among functional particles for computation. To assess the potential of colloid computers in implementing neuromorphic dynamical architectures, we have focused on realising Pavlovian reflexes within colloid mixtures. The Pavlovian reflex, a fundamental function of neurological systems in living organisms, enables learning capabilities. Our approach involves implementing Pavlovian learning by associating an increase in synaptic weight with a decrease in the resistance of the colloid mixture. Through experimental laboratory conditions, we have successfully demonstrated the feasibility of Pavlovian learning in colloid systems.

• Journal Article Type: Article
• Acceptance Date: Dec 19, 2023
• Online Publication Date: Jan 6, 2024
• Publication Date: Sep 1, 2024
• Deposit Date: Jan 28, 2024
• Publicly Available Date: Jan 30, 2024
• Journal: BioNanoScience
• Print ISSN: 2191-1630
• Electronic ISSN: 2191-1649
• Publisher: Springer (part of Springer Nature)
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 3
• Pages: 3099-3107
• DOI: https://doi.org/10.1007/s12668-023-01287-8
• Keywords: Conditional learning, Colloids, Pavlovian reflex
• Public URL: https://uwe-repository.worktribe.com/output/11637520