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Integration of Multidisciplinary Sensory Data: A Pilot Model of the Human Brain Project Approach
Author(s) -
Perry L. Miller,
P. Nadkarni,
Michael C. Singer,
Luis Marenco,
Michael L. Hines,
Gordon M. Shepherd
Publication year - 2001
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1136/jamia.2001.0080034
Subject(s) - neuroinformatics , multidisciplinary approach , computer science , data science , data integration , field (mathematics) , cyberinfrastructure , informatics , human–computer interaction , data mining , engineering , social science , mathematics , sociology , pure mathematics , electrical engineering
The paper provides an overview of neuroinformatics research at Yale University being performed as part of the national Human Brain Project. This research is exploring the integration of multidisciplinary sensory data, using the olfactory system as a model domain. The neuroinformatics activities fall into three main areas: 1) building databases and related tools that support experimental olfactory research at Yale and can also serve as resources for the field as a whole, 2) using computer models (molecular models and neuronal models) to help understand data being collected experimentally and to help guide further laboratory experiments, 3) performing basic neuroinformatics research to develop new informatics technologies, including a flexible data model (EAV/CR, entity-attribute-value with classes and relationships) designed to facilitate the integration of diverse heterogeneous data within a single unifying framework.

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