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IWANN
2001
Springer
14 years 7 days 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»
14 years 1 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
FLAIRS
2006
13 years 9 months ago
An Artificial Neural Network for a Tank Targeting System
In this paper, we apply artificial neural networks to control the targeting system of a robotic tank in a tank-combat computer game (RoboCode). We suggest an algorithm that not on...
Hans W. Guesgen, Xiao Dong Shi
COGSCI
2011
108views more  COGSCI 2011»
13 years 2 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
14 years 9 days 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...