Computer simulation of cortical polymaps: a proto-column algorithm Export

@article{landau1992:computer, abstract = {Neo-cortical sensory areas of the vertebrate brain are organized in terms of sensory (topographic) maps of peripheral sense organs. Known for over 40 years, cortical topography has been generally modeled in terms of a continuous map of a peripheral sensory surface onto a cortical surface. However, the details of cortical architecture do not conform to this concept: most, if not all cortical areas are represented by an interlacing of multiple featural or peripheral maps in the form of columns consisting of distinct classes of neural input to the cortex. Since such an architecture is at best piecewise continuous, it is useful to introduce a new term which focuses attention on the many-to-one interlaced nature of neo-cortex. The authors use the term 'polymap' to refer to a cortical area which consists of more than one input system, interlaced in a globally topographic, but locally columnar fashion. The best known example of a cortical polymap is provided by the ocular dominance column system in layer IV of primate striate cortex, but the puff/extra-puff and orientation systems of surrounding layers also illustrate this concept, as do the thick-thin-interstripe columns of V-2, and the direction columns of MT. Since polymap architecture seems to be a common architectural pattern in neo-cortex, they have addressed the problem of computational modeling of polymap systems. In the present paper, the authors present an algorithm, based on the computational geometric constructs of generalized voronoi polygon and medial axis, along with related image warps, which is capable of providing a general method for simulating polymap systems. They illustrate this idea with the ocular dominance column system of V-1, and show computer simulations of the structure of binocular stimuli, as they would appear at the level of layer IV in V-1.}, author = {Landau, Pierre and Schwartz, Eric L.}, citeulike-article-id = {1401710}, journal = {Neural Networks}, keywords = {brain, columns, computational, digital, geometry, mt, nets, neural, odcs, simulation, v1, v2, vision}, number = {2}, pages = {187--206}, posted-at = {2007-06-20 23:29:33}, priority = {4}, title = {Computer simulation of cortical polymaps: a proto-column algorithm}, volume = {5}, year = {1992} }

TY - JOUR ID - landau1992:computer L3 - citeulike-article-id:1401710 N2 - Neo-cortical sensory areas of the vertebrate brain are organized in terms of sensory (topographic) maps of peripheral sense organs. Known for over 40 years, cortical topography has been generally modeled in terms of a continuous map of a peripheral sensory surface onto a cortical surface. However, the details of cortical architecture do not conform to this concept: most, if not all cortical areas are represented by an interlacing of multiple featural or peripheral maps in the form of columns consisting of distinct classes of neural input to the cortex. Since such an architecture is at best piecewise continuous, it is useful to introduce a new term which focuses attention on the many-to-one interlaced nature of neo-cortex. The authors use the term 'polymap' to refer to a cortical area which consists of more than one input system, interlaced in a globally topographic, but locally columnar fashion. The best known example of a cortical polymap is provided by the ocular dominance column system in layer IV of primate striate cortex, but the puff/extra-puff and orientation systems of surrounding layers also illustrate this concept, as do the thick-thin-interstripe columns of V-2, and the direction columns of MT. Since polymap architecture seems to be a common architectural pattern in neo-cortex, they have addressed the problem of computational modeling of polymap systems. In the present paper, the authors present an algorithm, based on the computational geometric constructs of generalized voronoi polygon and medial axis, along with related image warps, which is capable of providing a general method for simulating polymap systems. They illustrate this idea with the ocular dominance column system of V-1, and show computer simulations of the structure of binocular stimuli, as they would appear at the level of layer IV in V-1. IS - 2 JF - Neural Networks EP - 206 TI - Computer simulation of cortical polymaps: a proto-column algorithm VL - 5 SP - 187 KW - brain KW - columns KW - computational KW - digital KW - geometry KW - mt KW - nets KW - neural KW - odcs KW - simulation KW - v1 KW - v2 KW - vision AU - Landau, Pierre AU - Schwartz, Eric PY - 1992/// ER -