2005/03/31 by Luciano da Fontoura Costa, Costa, Luciano da Fontoura · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Neuroscience · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Biological sciences #FOS: Physical sciences #Molecular Networks (q-bio.MN) #Morphological variations and asymmetry #Neural dynamics and brain function #Topological and Geometric Data Analysis #cond-mat.dis-nn #q-bio.MN
paper · pdf · doi:10.48550/arxiv.q-bio/0503041
17 pages, 2 figures. Presented at the COSIN final meeting, Salou, Spain, March 2005
arxiv created 2005/03/31 · openalex publication_date 2005/03/31 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This article discusses how the individual morphological properties of basic objects (e.g. neurons, molecules and aggregates), jointly with their particular spatial distribution, can determine the connectivity and dynamics of systems composed by those objects. This problem is characterized as a particular case of the more general shape and function paradigm, which emphasizes the interplay between shape and function in nature and evolution. Five key issues are addressed: (a) how to measure shapes; (b) how to obtain stochastic models of classes of shapes; (c) how to simulate morphologically realistic systems of multiple objects; (d) how to characterize the connectivity and topology of such systems in terms of complex network concepts and measurements; and (e) how the dynamics of such systems can be ultimately affected, and even determined, by the individual morphological features of the basic objects. Although emphasis is placed on neuromorphic systems, the presented concepts and methods are useful also for several other multiple object systems, such as protein-protein interaction, tissues, aggregates and polymers.