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dc.contributor.authorAlvarez, Sergio A.en_US
dc.contributor.authorLevitan, Svetlanaen_US
dc.contributor.authorReggia, James A.en_US
dc.date.accessioned2004-05-31T22:40:28Z
dc.date.available2004-05-31T22:40:28Z
dc.date.created1996-09en_US
dc.date.issued1998-10-15en_US
dc.identifier.urihttp://hdl.handle.net/1903/834
dc.description.abstractWe address the problem of measuring the degree of hemispheric organization and asymmetry of organization in a computational model of a bihemispheric cerebral cortex. A theoretical framework for such measures is developed and used to produce algorithms for measuring the degree of organization, symmetry, and lateralization in topographic map formation. The performance of the resulting measures is tested for several topographic maps obtained by self--organization of an initially random network, and the results are compared with subjective assessments made by humans. It is found that the closest agreement with the human assessments is obtained by using organization measures based on sigmoid--type error averaging. Measures are developed which correct for large constant displacements as well as curving of the hemispheric topographic maps. (Also cross-referenced as UMIACS-TR-96-51)en_US
dc.format.extent5843271 bytes
dc.format.mimetypeapplication/postscript
dc.language.isoen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3668en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-96-51en_US
dc.titleMeasuring Organization and Asymmetry in Bihemispheric Topographic Mapsen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US


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