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IJCNN
2006
IEEE
16 years 16 days ago
Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method
— Neuronal morphology plays a crucial role in the information processing capabilities of neurons. Despite the importance of morphology for neural functionality, biological data i...
Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma
MICAI
2005
Springer
16 years 15 hour ago
Modelling Human Intelligence: A Learning Mechanism
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
Enrique Carlos Segura, Robin W. Whitty
IWANN
1997
Springer
15 years 10 months ago
The Pattern Extraction Architecture: A Connectionist Alternative to the Von Neumann Architecture
A detailed connectionist architecture is described which is capable of relating psychological behavior to the functioning of neurons and neurochemicals. The need to be able to bui...
L. Andrew Coward
ICANN
2009
Springer
16 years 1 months ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
IJCNN
2007
IEEE
16 years 25 days ago
Modeling Overlapping Execution/Observation Brain Pathways
— Recent brain imaging studies on primates revealed that a network of brain areas is activated both during observation and during execution of movements. The present work aims at...
Michail Maniadakis, Manolis Hourdakis, Panos E. Tr...