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IWANN
2001
Springer
15 years 6 months ago
Neuronal Models with Current Inputs
We propose a novel approach based upon a superposition of ‘colored’ and ‘white’ noise to approximate current inputs in neural models. Numerical results show that the novel ...
Jianfeng Feng
ISCAS
2005
IEEE
154views Hardware» more  ISCAS 2005»
15 years 7 months ago
Back propagation learning of neural networks with chaotically-selected affordable neurons
— Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On ...
Yoko Uwate, Yoshifumi Nishio
113
Voted
COGSCI
2011
108views more  COGSCI 2011»
14 years 8 months ago
The AHA! Experience: Creativity Through Emergent Binding in Neural Networks
Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural pa...
Paul Thagard, Terrence C. Stewart
CONTEXT
2001
Springer
15 years 6 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
IJCAI
2001
15 years 3 months ago
Genetic Algorithm based Selective Neural Network Ensemble
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen