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ICANN
2005
Springer
14 years 1 months ago
A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability
While synaptic learning mechanisms have always been a core topic of neural computation research, there has been relatively little work on intrinsic learning processes, which change...
Jochen Triesch
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 25 days ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
IJCNN
2006
IEEE
14 years 2 months ago
Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks
— Multimodal integration of sensory information has clear advantages for survival: events that can be sensed in more than one modality are detected more quickly and accurately, a...
Lennart Gustafsson, Andrew P. Paplinski
ICARCV
2006
IEEE
164views Robotics» more  ICARCV 2006»
14 years 2 months ago
Fast Object Extraction from Bayesian Occupancy Grids using Self Organizing Networks
— Despite their popularity, occupancy grids cannot be directly applied to problems where the identity of the objects populating an environment needs to be taken into account (eg ...
Dizan Vasquez, Fabrizio Romanelli, Thierry Fraicha...
NIPS
1996
13 years 9 months ago
Neural Models for Part-Whole Hierarchies
We present a connectionist method for representing images that explicitlyaddresses their hierarchicalnature. It blends data fromneuroscience about whole-object viewpoint sensitive...
Maximilian Riesenhuber, Peter Dayan