Technical Reports from UMIACS
Permanent URI for this collectionhttp://hdl.handle.net/1903/7
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Item Nervous system maps on the C. elegans genome(2020-09-28) Cherniak, Christopher; Mokhtarzada, Zekeria; Rodriguez-Esteban, RaulThis project begins from a synoptic point of view, focusing upon the large-scale (global) landscape of the genome. This is along the lines of combinatorial network optimization in computational complexity theory [1]. Our research program here in turn originated along parallel lines in computational neuroanatomy [2,3,4,5]. Rather than mapping body structure onto the genome, the present report focuses upon statistically significant mappings of the Caenorhabditis elegans nervous system onto its genome. Via published datasets, evidence is derived for a "wormunculus", on the model of a homunculus representation, but on the C. elegans genome. The main method of testing somatic-genomic position-correlations here is via public genome databases, with r^2 analyses and p evaluations. These findings appear to yield some of the basic structural and functional organization of invertebrate nucleus and chromosome architecture. The design rationale for somatic maps on the genome in turn may be efficient interconnections. A next question this study raises: How do these various somatic maps mesh (interrelate, interact) with each other?Item Global Optimization of Cerebral Cortex Layout (II)(2003-11-25) Cherniak, Christopher; Mokhtarzada, Zekeria; Rodriguez-Esteban, Raul; Changizi, B. K.Supplementary supporting material for: UMIACS-TR-2003-102 CS-TR-4534 Global Optimization of Cerebral Cortex Layout (I) C. Cherniak, Z. Mokhtarzada, R. Rodriguez-Esteban, B. Changizi.Item Global Optimization of Cerebral Cortex Layout (I)(2003-11-25) Cherniak, Christopher; Mokhtarzada, Zekeria; Rodriguez-Esteban, Raul; Changizi, B. K.Functional areas of mammalian cerebral cortex seem positioned to minimize costs of their interconnections, down to a best-in-a-billion optimality level. The optimization problem here, originating in microcircuit design, is: Given connections among components, what is the physical placement of the components on a surface that minimizes total length of connections? Because of unfeasibility of measuring longrange "wirelength" in the cortex, a simpler adjacency cost was validated. To deal with incomplete information on brain networks, a Size Law was developed that predicts optimization patterns in subnetworks. Macaque and cat cortex rank better in this connection optimization than the wiring of comparably structured computer chips, but somewhat worse than the macroeconomic commodity-flow network among U.S. states. However, cortex wiring conforms to the Size Law better than the macroeconomic patterns, which may indicate cortex optimizing mechanisms involve more global processes. [ See also Supplementary Material: CS-TR-4535 ] UMIACS-TR-2003-102)