Title : 
The bifurcating neuron network 3
         
        
            Author : 
Choi, Jinhyuk ; Lee, Geehyuk
         
        
            Author_Institution : 
Sch. of Eng., Inf. & Commun. Univ., Daejeon, South Korea
         
        
        
        
        
            Abstract : 
The bifurcating neuron (BN) is an integrate-and-fire model neuron that exhibits bistability and attractor-merging crisis. The bifurcating neuron network 1, a network of BNs, was shown to be an associative memory that is robust against spurious minima problems. It was noted that the BN can in fact have multi-stability, which would make the BN a chaotic, multi-state, integrate-and-fire model neuron. This paper is a report of our preliminary study on the tri-stability of the BN, the behaviors of interacting such BNs, and a design of a network of BNs that interact via "mutually-exclusive" coupling, thereby solving a 3-coloring problem.
         
        
            Keywords : 
bifurcation; content-addressable storage; neural nets; stability; associative memory; attractor-merging crisis; bifurcating neuron network; integrate-and-fire model neuron; tri-stability; Artificial neural networks; Associative memory; Bifurcation; Chaos; Chaotic communication; Computer networks; Frequency modulation; Mutual coupling; Neurons; Robustness;
         
        
        
        
            Conference_Titel : 
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
         
        
            Print_ISBN : 
0-7803-9048-2
         
        
        
            DOI : 
10.1109/IJCNN.2005.1556239