Event Abstract Back to Event Machine-readable representations of hippocampal neuron properties to facilitate investigative analytics David J. Hamilton1*, Diek W. Wheeler1, Charise White1, Alexander O. Komendantov1, Christopher L. Rees1, Sean T. Mackesey1, Maurizio Bergamino1, Prerak S. Dalal1 and Giorgio A. Ascoli1 1 George Mason University, Krasnow Institute for Advanced Study, United States Extensive effort has been expended toward mining books and peer-reviewed articles to establish dense coverage of neuronal types within the hippocampal formation. Experimental evidence includes morphological, electrophysiological, and molecular-marker expression, with morphology providing the primary basis of neuron-type definitions. The motivation for representing literature-mined data in machine-readable form is to facilitate investigative analytics. These may range from the computational modeling of networks gleaned from potential connectivity between neuronal types to the correlation of molecular markers with morphology derived through electronically searchable neuronal properties. Hippocampome.org (Figure 1) is an information portal that makes knowledge of these machine-readable neuron properties accessible via both human and application programming interfaces. Previously intractable analytics of this coverage of hippocampal neuronal property descriptions are now made possible with the advent of the Hippocampome. Figure 1 Acknowledgements AFOSR Grant FA9550-10-1-0385, NINDS (NIH) R01NS39600, NINDS (NIH) R21NS58816, ONR Grant MURI N00014-10-1-0198 Keywords: Hippocampus, Neuron, property, morphology, Molecular markers, Electrophysiology Conference: Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, 2013. Presentation Type: Demo Topic: General neuroinformatics Citation: Hamilton DJ, Wheeler DW, White C, Komendantov AO, Rees CL, Mackesey ST, Bergamino M, Dalal PS and Ascoli GA (2013). Machine-readable representations of hippocampal neuron properties to facilitate investigative analytics. Front. Neuroinform. Conference Abstract: Neuroinformatics 2013. doi: 10.3389/conf.fninf.2013.09.00028 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 28 Apr 2013; Published Online: 11 Jul 2013. * Correspondence: Mr. David J Hamilton, George Mason University, Krasnow Institute for Advanced Study, Fairfax, VA, 22030, United States, dhamilt5@gmu.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers David J Hamilton Diek W Wheeler Charise White Alexander O Komendantov Christopher L Rees Sean T Mackesey Maurizio Bergamino Prerak S Dalal Giorgio A Ascoli Google David J Hamilton Diek W Wheeler Charise White Alexander O Komendantov Christopher L Rees Sean T Mackesey Maurizio Bergamino Prerak S Dalal Giorgio A Ascoli Google Scholar David J Hamilton Diek W Wheeler Charise White Alexander O Komendantov Christopher L Rees Sean T Mackesey Maurizio Bergamino Prerak S Dalal Giorgio A Ascoli PubMed David J Hamilton Diek W Wheeler Charise White Alexander O Komendantov Christopher L Rees Sean T Mackesey Maurizio Bergamino Prerak S Dalal Giorgio A Ascoli Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.