Application of Kohonen's self–organizing feature map algorithm to cortical maps of orientation and direction preference
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چکیده
منابع مشابه
Hardware Implementations of Kohonen's Selforganizing Feature Map
In this paper we present a hardware realization of Kohonen's selforganizing feature map as a neural coprocessor connected to a personal computer (PC). We compare two concepts for this coprocessor, a vector-component-serial and processing-element-parallel array processor and a vector-component-parallel and processing-element-serial vector processor. Finally we give an overview about the whole sy...
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15 صفحه اولAxonal topography of cortical basket cells in relation to orientation, direction, and ocular dominance maps.
The axonal (bouton) distributions of a layer 4 clutch cell (CC), two layer 3 medium-sized basket cells (MBC), and a layer 3 large basket cell (LBC) to orientation, direction, and ocular dominance maps were studied quantitatively. 1) The CC provided exclusively local projections (<380 microm from the soma) and contacted a narrow "niche" of functional representations. 2) The two MBCs emitted loca...
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The most prominent feature of mammalian striate cortex (V1) is the spatial organization of response preferences for the position and orientation of elementary visual stimuli. Models for the formation of cortical maps of orientation and 'retinotopic' position typically rely on a combination of Hebbian or correlation-based synaptic plasticity, and constraints on the distribution of synaptic weigh...
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ژورنال
عنوان ژورنال: Proceedings of the Royal Society of London. Series B: Biological Sciences
سال: 1998
ISSN: 0962-8452,1471-2954
DOI: 10.1098/rspb.1998.0367