Modeling and Interpreting Multivariate Nonstationary Brain  Wave Time Series
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
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The objective of this research is to model multivariate, non-stationary         electroencephalograms (EEG) and from the model, to infer the                    instantaneous feedback and causality structure of the EEG signals.  The         research will lead to advances in information processing and                    neurophysiology as well as to improved clinical diagnostic methods in           the treatment of brain injury or pathology.
{'FirstName': 'Will', 'LastName': 'Gersch', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Will M Gersch', 'EmailAddress': None, 'NSF_ID': '000167051', 'StartDate': '09/01/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Hawaii', 'CityName': 'HONOLULU', 'ZipCode': '968222247', 'PhoneNumber': '8089567800', 'StreetAddress': '2425 CAMPUS RD SINCLAIR RM 1', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Hawaii', 'StateCode': 'HI', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'HI01', 'ORG_UEI_NUM': 'NSCKLFSSABF2', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF HAWAII', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '5345', 'Text': 'Engineering of Biomed Systems'}
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