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» Learning cortical topography from spatiotemporal stimuli
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MBEC
2011
117views more  MBEC 2011»
13 years 20 days ago
Face activated neurodynamic cortical networks
Previous neuroimaging studies have shown that complex visual stimuli, such as faces, activate multiple brain regions, yet little is known on the dynamics and complexity of the acti...
Ana Susac, Risto J. Ilmoniemi, Douglas Ranken, Sel...
BC
2002
193views more  BC 2002»
13 years 9 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
ICANN
2010
Springer
13 years 11 months ago
Unsupervised Learning of Relations
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
Matthew Cook, Florian Jug, Christoph Krautz, Angel...
AAAI
2000
13 years 11 months ago
Self-Organization of Innate Face Preferences: Could Genetics Be Expressed through Learning?
Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...
James A. Bednar, Risto Miikkulainen
BC
2005
84views more  BC 2005»
13 years 9 months ago
A computational model of monkey cortical grating cells
Grating cells were discovered in the V1 and V2 areas of the monkey visual cortex by von der Heydt et al. (1992). These cells responded vigorously to grating patterns of appropriate...
Tino Lourens, Emilia I. Barakova, Hiroshi G. Okuno...