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IGPL
2010
97views more  IGPL 2010»
13 years 5 months ago
A symbolic/subsymbolic interface protocol for cognitive modeling
Researchers studying complex cognition have grown increasingly interested in mapping symbolic cognitive architectures onto subsymbolic brain models. Such a mapping seems essential...
Patrick Simen, Thad A. Polk
GECCO
2010
Springer
152views Optimization» more  GECCO 2010»
14 years 5 days ago
Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
Jean-Baptiste Mouret, Stéphane Doncieux, Be...
NC
1998
118views Neural Networks» more  NC 1998»
13 years 8 months ago
BRAINN: A Connectionist Approach to Symbolic Reasoning
Hybrid connectionist symbolic systems have been the subject of much recent research in AI. By focusing on the implementation of high-level human cognitive processes (e.g., rule-ba...
Rafal Bogacz, Christophe G. Giraud-Carrier
IBPRIA
2007
Springer
14 years 1 months ago
A Neural Network Model for Image Change Detection Based on Fuzzy Cognitive Maps
This paper outlines a neural network model based on the Fuzzy Cognitive Maps (FCM) framework for solving the automatic image change detection problem. Each pixel in the reference i...
Gonzalo Pajares, Alfonso Sánchez-Beato, Jes...
PPSN
2004
Springer
14 years 22 days ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...