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CONTEXT
2001
Springer
15 years 3 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...
67
Voted
CORR
2008
Springer
116views Education» more  CORR 2008»
14 years 11 months ago
To which extend is the "neural code" a metric ?
Here is proposed a review of the different choices to structure spike trains, using deterministic metrics. Temporal constraints observed in biological or computational spike train...
Bruno Cessac, Horacio Rostro-González, Juan...
BMCBI
2006
184views more  BMCBI 2006»
14 years 11 months ago
PathSys: integrating molecular interaction graphs for systems biology
Background: The goal of information integration in systems biology is to combine information from a number of databases and data sets, which are obtained from both high and low th...
Michael Baitaluk, Xufei Qian, Shubhada Godbole, Al...
89
Voted
IJCNN
2000
IEEE
15 years 3 months ago
Analog Hardware Implementation of the Random Neural Network Model
This paper presents a simple continuous analog hardware realization of the Random Neural Network (RNN) model. The proposed circuit uses the general principles resulting from the u...
Hossam Abdelbaki, Erol Gelenbe, Said E. El-Khamy
ICANN
2005
Springer
15 years 4 months ago
The Emergence of Visual Object Recognition
The model here proposed simulates the development of the object recognition capability, assuming that recognition does not imply any sort of explicit geometrical reconstruction and...
Alessio Plebe, Rosaria Grazia Domenella