Sciweavers

1029 search results - page 8 / 206
» Neural Networks and Complexity Theory
Sort
View
IJCNN
2008
IEEE
15 years 4 months ago
Dynamic logic of phenomena and cognition
—Modeling of complex phenomena such as the mind presents tremendous computational complexity challenges. The neural modeling fields theory (NMF) addresses these challenges in a n...
Boris Kovalerchuk, Leonid I. Perlovsky
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
15 years 4 months ago
The impact of network topology on self-organizing maps
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
Fei Jiang, Hugues Berry, Marc Schoenauer
NN
1998
Springer
112views Neural Networks» more  NN 1998»
14 years 9 months ago
Continuous attractors and oculomotor control
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...
H. Sebastian Seung
AINA
2010
IEEE
14 years 8 months ago
Compensation of Sensors Nonlinearity with Neural Networks
—This paper describes a method of linearizing the nonlinear characteristics of many sensors using an embedded neural network. The proposed method allows for complex neural networ...
Nicholas J. Cotton, Bogdan M. Wilamowski
ECAL
2007
Springer
15 years 3 months ago
Measuring Entropy in Embodied Neural Agents with Homeostasic Units: A Link Between Complexity and Cybernetics
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
Jorge Simão