학술논문
Space-and-Cost-Efficient Neural Control /Sensory Element Using an Analog FPGA
Document Type
Conference
Author
Source
2019 International Conference on System Science and Engineering (ICSSE) System Science and Engineering (ICSSE), 2019 International Conference on. :71-74 Jul, 2019
Subject
Language
ISSN
2325-0925
Abstract
As neural networks are applied to control and sensory, software neuron models cannot sometimes fulfill speed requirement as well as simple add-and-sigmoid is not enough for functionality. This paper proposes a small and inexpensive hardware neuron based on FitzHugh-Nagumo model. By making full use of chip property and maximum circuit packing through placement search, it surpasses the previous implementation by factors of 4 for space and 15 for cost.