Statistical Mechanics Characterization of Neuronal Mosaics

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dc.creatorCosta, Luciano da Fontoura
dc.creatorRocha, Fernando
dc.creatorde Lima, Silene Maria Araujo
dc.date2004-11-14
dc.date.accessioned2026-07-07T08:30:40Z
dc.date.available2026-07-07T08:30:40Z
dc.descriptionThe spatial distribution of neuronal cells is an important requirement for achieving proper neuronal function in several parts of the nervous system of most animals. For instance, specific distribution of photoreceptors and related neuronal cells, particularly the ganglion cells, in mammal's retina is required in order to properly sample the projected scene. This work presents how two concepts from the areas of statistical mechanics and complex systems, namely the \emph{lacunarity} and the \emph{multiscale entropy} (i.e. the entropy calculated over progressively diffused representations of the cell mosaic), have allowed effective characterization of the spatial distribution of retinal cells.
dc.description3 pages, 1 figure, The following article has been submitted to Applied Physics Letters. If it is published, it will be found online at http://apl.aip.org/
dc.identifierhttps://arxiv.org/abs/q-bio/0411030
dc.identifierhttp://arxiv.org/abs/q-bio/0411030
dc.identifierAppl. Phys. Lett. 86, 093901 (2005)
dc.identifierdoi:10.1063/1.1874306
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/138297
dc.subjectNeurons and Cognition
dc.subjectDisordered Systems and Neural Networks
dc.subjectComputer Vision and Pattern Recognition
dc.subjectBiological Physics
dc.subjectQuantitative Methods
dc.titleStatistical Mechanics Characterization of Neuronal Mosaics
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