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» Computational model for amygdala neural networks
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IJCNN
2007
IEEE
14 years 13 days ago
Computational Templates, Neural Network Dynamics, and Symbolic Logic
— The relationship between subsymbolic neural networks and symbolic logical systems is discussed from the point of view of the account of computational science by Paul Humphreys ...
Otto Lappi
ICANN
2010
Springer
13 years 6 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
ICPR
2010
IEEE
13 years 9 months ago
Image Parsing with a Three-State Series Neural Network Classifier
We propose a three-state series neural network for effective propagation of context and uncertainty information for image parsing. The activation functions used in the proposed mod...
Seyed Mojtaba Seyedhosseini Tarzjani, Antonio Paiv...
IJCNN
2008
IEEE
14 years 16 days ago
Biologically realizable reward-modulated hebbian training for spiking neural networks
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
Silvia Ferrari, Bhavesh Mehta, Gianluca Di Muro, A...
CONTEXT
2001
Springer
13 years 10 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...