Title :
Memristors for energy-efficient, bioinspired processing
Author :
Georgiou, Julius ; Kyriakides, Evripides
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Cyprus, Nicosia, Cyprus
Abstract :
Although memristors have been around, both theoretically and physically for a long time, they have not really been exploited in today´s computational infrastructure. In this paper we demonstrate how a loosely memristive NiTi structure can be used to implement synaptic and other neural components that are required in the next generation of neuromorphic systems.
Keywords :
biomedical equipment; memristors; neurophysiology; nickel alloys; titanium alloys; bioinspired processing; energy-efficient processing; memristive NiTi structure; memristor; neural component; neural components; neuromorphic system; Crystals; Immune system; Memristors; Metals; Neurons; Resistance; Temperature; Bio-inspired computation; Memristors; Neuromorphic Engineering;
Conference_Titel :
Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of
Conference_Location :
Eilat
Print_ISBN :
978-1-4673-4682-5
DOI :
10.1109/EEEI.2012.6377026
