<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Pezzulo G</submitter><funding>American Heart Association</funding><funding>Human Frontier Science Program</funding><funding>G Harold and Leila Y. Mathers Foundation</funding><funding>National Institutes of Health</funding><funding>NIAMS NIH HHS</funding><funding>Emergent Behaviors of Integrated Cellular Systems</funding><pagination>1487-517</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4667987</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7(12)</volume><pubmed_abstract>A major goal of regenerative medicine and bioengineering is the regeneration of complex organs, such as limbs, and the capability to create artificial constructs (so-called biobots) with defined morphologies and robust self-repair capabilities. Developmental biology presents remarkable examples of systems that self-assemble and regenerate complex structures toward their correct shape despite significant perturbations. A fundamental challenge is to translate progress in molecular genetics into control of large-scale organismal anatomy, and the field is still searching for an appropriate theoretical paradigm for facilitating control of pattern homeostasis. However, computational neuroscience provides many examples in which cell networks - brains - store memories (e.g., of geometric configura</pubmed_abstract><journal>Integrative biology : quantitative biosciences from nano to macro</journal><pubmed_title>Re-membering the body: applications of computational neuroscience to the top-down control of regeneration of limbs and other complex organs.</pubmed_title><pmcid>PMC4667987</pmcid><funding_grant_id>14IRG18570000</funding_grant_id><funding_grant_id>AR055993</funding_grant_id><funding_grant_id>CBET-0939511</funding_grant_id><funding_grant_id>RGY0088/2014</funding_grant_id><funding_grant_id>R01 AR055993</funding_grant_id><pubmed_authors>Levin M</pubmed_authors><pubmed_authors>Pezzulo G</pubmed_authors></additional><is_claimable>false</is_claimable><name>Re-membering the body: applications of computational neuroscience to the top-down control of regeneration of limbs and other complex organs.</name><description>A major goal of regenerative medicine and bioengineering is the regeneration of complex organs, such as limbs, and the capability to create artificial constructs (so-called biobots) with defined morphologies and robust self-repair capabilities. Developmental biology presents remarkable examples of systems that self-assemble and regenerate complex structures toward their correct shape despite significant perturbations. A fundamental challenge is to translate progress in molecular genetics into control of large-scale organismal anatomy, and the field is still searching for an appropriate theoretical paradigm for facilitating control of pattern homeostasis. However, computational neuroscience provides many examples in which cell networks - brains - store memories (e.g., of geometric configura</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015 Dec</publication><modification>2025-04-04T14:06:12.24Z</modification><creation>2019-03-27T02:04:31Z</creation></dates><accession>S-EPMC4667987</accession><cross_references><pubmed>26571046</pubmed><doi>10.1039/c5ib00221d</doi></cross_references></HashMap>