Carmit Sahar-Pikielny

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We present an algorithm for identifying linear patterns on a two-dimensional lattice based on the concept of an orientation selective cell, a concept borrowed from neurobiology of vision. Constructing a multi-layered neural network with fixed architecture which implements orientation selectivity, we define output elements corresponding to different(More)
Previous experiments indicate that the shape of maps of preferred orientation in the primary visual cortex does not depend on visual experience. We propose a network model that demonstrates that the orientation and direction selectivity of individual units and the structure of the corresponding angle maps could emerge from local recurrent connections. Our(More)
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