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Mihail Bota

Associate Professor (Research) of Biological Sciences

Contact Information
E-mail: mbota@usc.edu
Phone: (213) 740-9099
Office: HNB 428

LINKS
Personal Website
 

Education

Ph.D. Neurobiology, University of Southern California, 5/2001
M.S. Physics, University of Bucharest, 6/1992
 

Postdoctoral Training

Research Associate, University of Southern California, 2001-2004  
 

Description of Research

Summary Statement of Research Interests

Development of informatics systems for neurobiological data for online information retrieval, and data mining. Construction of the rat connectome. Development of ontologies for neurosciences. Research in the neural grounds of language and action recognition in humans and monkeys.
 

Research Keywords

neurobiology, neuroinformatics, databases, data mining, knowledge management, connectome
 

Funded Research

Contracts and Grants Awarded

A Mature Brain Architecture Knowledge Management System (NINDS), Larry W. Swanson, Mihail Bota, $326,000, 2009-2013  
A MATURE BRAIN ARCHITECTURE KNOWLEDGE MANAGEMENT SYSTEM (NIH-NIH), Larry Swanson, Mihail Bota, $1,002,353, 08/01/2004-04/30/2008  
 

Publications

Book Chapter

Arbib, M., Bota, M. (2006). Neural homologies and the grounding of linguistics. pp. 136-173. Cambridge University Press.
Bota, M., Arbib, M. (2002). NeuroHomology Database: an online KMS for handling and evaluation of the neurobiological information. pp. p. 230-220. Norwell, MA: Neuroscience databases/Kluwer Academic Press.
 

Journal Article

Swanson, L. W., Mihail, B. (2010). Foundational Model of nervous system structural connectivity: A schema for wiring diagrams, connectome, and basic plan architecture. Proceedings of the National Academy of Sciences.
Bota, M., Swanson, L. W. (2010). Collating and curating neuroanatomical nomenclatures: principles and use of the Brain Architecture Knowledge Management System (BAMS). Frontiers in Neuroinformatics. Vol. 4 (3) PubMed Web Address
Bohland, J. W., Wu, C., Barbas, H., Bota, M., Mithra, P. P. (2009). A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale. PLOS Comput Neurobiology. Vol. 5 (3) PubMed Web Address
Bota, M., Swanson, L. W. (2008). BAMS neuroanatomical ontology: design and implementation. Frontiers in Neuroinformatics. Vol. 2 (2) PubMed Web Address
Bota, M., Swanson, L. W. (2008). Report on the 1st INCF workshop on neuroanatomical nomenclature and taxonomy. Nature Preceedings. website
Bota, M., Swanson, L. W. (2007). The neuron classification problem. Brain Research Reviews.
Bota, M., Swanson, L. W. (2007). Online workbenches for neural network connections. Journal of Comparative Neurology/Wiley. Vol. 500(5) 807-814
Bota, M., Swanson, L. W. (2006). A new module for manipulation and display of molecular information in the brain architecture management system. Neuroinformatics/Humane. Vol. in press
Bota, M., Dong, H., Swanson, L. W. (2005). Brain architecture management system. Neuroinformatics/Humane. Vol. 3, pp. 15-48.
Bota, M., Arbib, M. (2004). Integrating databases and expert systems for the analysis of brain structures, connections, and homologies. Neuroinformatics/Humane. pp. p. 20-59.
Arbib, M., Bota, M. (2004). Evolving Mirror Systems: Homologies and the Nature of Neuroinformatics. Trends in Cognitive Sciences/Elsevier. Vol. 8(7), pp. p.290-291.
Bota, M., Dong, H., Swanson, L. W. (2003). From gene networks to brain networks. Nature Neuroscience/Nature Publishing Group. Vol. 8(6), pp. p. 795-799.
Arbib, M., Bota, M. (2003). Language evolution: neural homologies and neuroinformatics. Neural Networks/Elsevier. Vol. 16(9), pp. p.1237-1260.
Bota, M. (2003). From axis to triangle: The role of orbital cortex. Behavioral and Brain Sciences/Cambridge University Press. Vol. 26(5), pp. p. 552-553.
Bota, M., Arbib, M. (2001). The NeuroHomology Database. Neurocomputing/Elsevier. Vol. 38-40, pp. pp.1627-1631.
 

Multimedia Scholarship and Creative Works

Online Database, BAMS2 (http://brancusi1.usc.edu) is a new system designed for archiving and understanding the neural circuitry. BAMS2 is compliant with Web 2.0 standards and with central tenets of the NIH Blueprint. The structure and data included in BAMS2 can be downloaded or saved in RDF/OWL 2.0 format, which is created dynamically., 2010-  
Online Ontology, BAMS Neuroanatomical Ontology is a lightweght ontology designed specifically for neuroscience. It contains a complete set of concepts that describe the structure of the rat central nervous system (CNS) and a growing set of concepts that describe different neuron populations in the rat CNS., 2008-  
Online knowledge management system, The Brain Architecture Management System (BAMS) is a repository of knowledge about brain parts from different species, and includesinference engines for processing the neurobiological data. BAMS contains five interrelated modules: Brain Parts (brain regions, major fiber tracts, and ventricles), Cell Types, Molecules, Relations, and Connections. , 01/2002-  
 
 
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