Title :
Memristor based neuromorphic circuit for visual pattern recognition
Author :
P. Lorenzi;V. Sucre;G. Romano;R. Rao;F. Irrera
Author_Institution :
Department of Information Engineering, Electronics and Telecommunication "Sapienza" University of Rome, Italy
fDate :
11/1/2015 12:00:00 AM
Abstract :
In this work a simple network composed by a first 25 sensory neurons layer and a second 10 output neuron layer connected by 250 memristor synapses is proposed. The system was simulated in PSPICE in order to recognize 5X5 pixel binary images.
Keywords :
"Neurons","Memristors","Neuromorphics","Pattern recognition","Image recognition","Integrated circuit modeling","Training"
Conference_Titel :
Memristive Systems (MEMRISYS) 2015 International Conference on
DOI :
10.1109/MEMRISYS.2015.7378387
