Title :
Implementation of finite state automata using fLIF neurons
Author :
Fan, Yulei ; Huyck, Christian
Author_Institution :
Middlesex Univ. of London, London
Abstract :
This paper presents a novel approach to implementation of finite state automaton (FSA) using fatiguing Leaky Integrate and Fire (fLIF) neurons. This approach uses fLIF neurons because they are a model of biological neurons that closely approximates the basic functions of neurons. FSAs are an important mechanism for processing information. In this paper, the creation and implementation of two FSA models is described; the results show that all input sentences are correctly marked as acceptable or unacceptable.
Keywords :
finite state machines; neural nets; fLIF neuron; fatiguing leaky integrate-and-fire neuron; finite state automata; Automata; Biological system modeling; Content addressable storage; Equations; Fatigue; Fires; Hardware; Mathematical model; Neurons; Potential energy; Fatiguing Leaky Integrate and Fire Neurons; Finite State Automata; Parser;
Conference_Titel :
Cybernetic Intelligent Systems, 2008. CIS 2008. 7th IEEE International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-2914-1
Electronic_ISBN :
978-1-4244-2915-8
DOI :
10.1109/UKRICIS.2008.4798918
