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» Neural Networks and Complexity Theory
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ISNN
2005
Springer
15 years 3 months ago
Enhanced Fuzzy Single Layer Perceptron
Abstract. In this paper, a method of improving the learning time and convergence rate is proposed to exploit the advantages of artificial neural networks and fuzzy theory to neuron...
Kwang-Baek Kim, Sungshin Kim, Young Hoon Joo, Am S...
BC
2000
77views more  BC 2000»
14 years 9 months ago
Generic origins of irregular spiking in neocortical networks
We identify generic sources of complex and irregular spiking in biological neural networks. For the network description, we operate on a mathematically exact mesoscopic approach. S...
Ruedi Stoop, L. A. Bunimovich, Willi-Hans Steeb
IJON
2006
127views more  IJON 2006»
14 years 9 months ago
Evolved neural networks based on cellular automata for sensory-motor controller
Constructing the controller of a mobile robot has several issues to be addressed: how to automate behavior generation procedure, how to insert available domain knowledge effective...
Kyung-Joong Kim, Sung-Bae Cho
TSMC
2008
100views more  TSMC 2008»
14 years 9 months ago
Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays
Abstract--In this paper, a synchronization problem is investigated for an array of coupled complex discrete-time networks with the simultaneous presence of both the discrete and di...
Yurong Liu, Zidong Wang, Jinling Liang, Xiaohui Li...
ICONIP
2010
14 years 8 months ago
Complex Spiking Models: A Role for Diffuse Thalamic Projections in Complex Cortical Activity
Cortical activity exhibits complex, persistent self-sustained dynamics, which is hypothesised to support the brain’s sophisticated processing capabilities. Prior studies have sho...
Peter Stratton, Janet Wiles