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

Does the D.C. Response of Memristors Allow Robotic Short-Term Memory and a Possible Route to Artificial Time Perception?