scholarly journals Analytic solution of attractor neural networks on scale-free graphs

2004 ◽  
Vol 37 (37) ◽  
pp. 8789-8799 ◽  
Author(s):  
I Pérez Castillo ◽  
B Wemmenhove ◽  
J P L Hatchett ◽  
A C C Coolen ◽  
N S Skantzos ◽  
...  
IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 59833-59842 ◽  
Author(s):  
Wenchao Jiang ◽  
Yinhu Zhai ◽  
Zhigang Zhuang ◽  
Paul Martin ◽  
Zhiming Zhao ◽  
...  

2006 ◽  
Vol 53 (3) ◽  
pp. 381-385 ◽  
Author(s):  
G. Acosta ◽  
M. Graña ◽  
J. P. Pinasco

2008 ◽  
Vol 21 (10) ◽  
pp. 1530-1536 ◽  
Author(s):  
Filip Piȩkniewski ◽  
Tomasz Schreiber

2008 ◽  
Vol 18 (10) ◽  
pp. 3101-3111 ◽  
Author(s):  
JIANQUAN LU ◽  
DANIEL W. C. HO ◽  
JINDE CAO

A general complex dynamical network consisting of N nonlinearly coupled identical chaotic neural networks with coupling delays is firstly formulated. Many studied models with coupling systems are special cases of this model. Synchronization in such dynamical network is considered. Based on the Lyapunov–Krasovskii stability theorem, some simple controllers with updated feedback strength are introduced to make the network synchronized. The update gain γi can be properly chosen to make some important nodes synchronized quicker or slower than the rest. Two examples including nearest-neighbor coupled networks and scale-free network are given to verify the validity and effectiveness of the proposed control scheme.


2005 ◽  
Vol 44 (2) ◽  
pp. 241-248 ◽  
Author(s):  
M. Catanzaro ◽  
R. Pastor-Satorras

2006 ◽  
Vol 371 (2) ◽  
pp. 870-876 ◽  
Author(s):  
S. Martin ◽  
R.D. Carr ◽  
J.-L. Faulon

2010 ◽  
Vol 38 (4) ◽  
pp. 396-421 ◽  
Author(s):  
Colin Cooper ◽  
Paweł Prałat
Keyword(s):  

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