Does the D.C. response of memristors allow robotic short-term memory and a possible route to artificial time perception?

Gale, Ella; de Lacy Costello, Ben; Adamatzky, Andrew

Abstract

Time perception is essential for task switching, and in the mammalian brain appears alongside other processes. Memristors are electronic components used as synapses and as models for neurons. The d.c. response of memristors can be considered as a type of short-term memory. Interactions of the memristor d.c. response within networks of memristors leads to the emergence of oscillatory dynamics and intermittent spike trains, which are similar to neural dynamics. Based on this data, the structure of a memristor network control for a robot as it undergoes task switching is discussed and it is suggested that these emergent network dynamics could improve the performance of role switching and learning in an artificial intelligence and perhaps create artificial time perception.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: Workshop Unconventional Approaches to Robotics, Automation and Control Inspired by Nature (UARACIN) in:
• Start Date: May 10, 2013
• End Date: May 10, 2013
• Publication Date: May 10, 2013
• Deposit Date: Apr 4, 2013
• Publicly Available Date: Feb 22, 2016
• Peer Reviewed: Peer Reviewed
• Keywords: memristors, unconventional computing, robotics, time-perception, memory
• Public URL: https://uwe-repository.worktribe.com/output/931972
• Publisher URL: http://uncomp.uwe.ac.uk/UARACIN/
• Additional Information: Additional Information : Position paper, 3 pages; Title of Conference or Conference Proceedings : International Conference on Robotics and Automation (ICRA) 2013
• Contract Date: Feb 22, 2016