1. Department of Computer and Automation Engineering, Federal University of Rio Grande do Norte (UFRN), Natal, Brazil;2. State University of Rio Grande do Norte, Mossoró, Brazil;3. Symetrix Corporation, Colorado Springs, USA
Abstract:
In this work we propose the implementation of boolean logic through artificial neurons with Ferroelectric Capacitor (FeCapacitor) as its basic unit on a reconfigurable hardware platform. Two neurons were implemented: the Perceptron and the Spiking Neuron model. Both neurons use the phenomenon of the hysteresis loop as an activation function and were embedded on a Field Gate Programmable Gate Array (FPGA) hardware platform. The implementations were carried out by Simulink models and hardware synthesizable blocks from DSP Builder software and the results are shown in the form of the models and the boolean functions implemented by them.