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» A Model of Recurrent Interactions in Primary Visual Cortex
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ICASSP
2010
IEEE
13 years 5 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...
IJON
2007
132views more  IJON 2007»
13 years 5 months ago
Emergence of population synchrony in a layered network of the cat visual cortex
Recently, a quantitative wiring diagram for the local neuronal network of cat visual cortex was described [T. Binzegger, R.J. Douglas, K.A.C. Martin, A quantitative map of the cir...
Jens Kremkow, Arvind Kumar, Stefan Rotter, Ad Aert...
GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
13 years 10 months ago
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
BC
2000
86views more  BC 2000»
13 years 5 months ago
Self-organizing maps for visual feature representation based on natural binocular stimuli
We model the stimulus-induced development of the topography of the primary visual cortex. The analysis uses a self-organizing Kohonen model based on high-dimensional coding. It all...
Jan C. Wiemer, Thomas Burwick, Werner von Seelen