ANEBDa.PE: Advancing Neural Engineering Through Big Data I |
| Symposium: Advancing Neural Engineering Through Big Data |
| Session Type: Poster |
| Time: Wednesday, December 4, 13:30 - 15:30 |
| Location: Poster Area E |
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ANEBDa.PE.1: HIERARCHICAL EVENT DESCRIPTOR (HED) TAGS FOR ANALYSIS OF EVENT-RELATED EEG STUDIES |
| Nima Bigdely-Shamlo; University of California, San Diego |
| Kenneth Kreutz-Delgado; University of California, San Diego |
| Kay Robbins; The University of Texas at San Antonio |
| Makoto Miyakoshi; University of California, San Diego |
| Marissa Westerfield; University of California, San Diego |
| Tarik Bel-Bahar; University of California, San Diego |
| Christian Kothe; University of California, San Diego |
| Jessica Hsi; University of California, San Diego |
| Scott Makeig; University of California, San Diego |
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ANEBDa.PE.2: CTAGGER: SEMI-STRUCTURED COMMUNITY TAGGING FOR ANNOTATION AND DATA-MINING IN EVENT-RICH CONTEXTS |
| Thomas Rognon; The University of Texas at San Antonio |
| Rebecca Strautman; The University of Texas at San Antonio |
| Lauren Jett; The University of Texas at San Antonio |
| Nima Bigdely-Shamlo; University of California, San Diego |
| Scott Makeig; University of California, San Diego |
| Tony Johnson; DCS Corporation |
| Kay Robbins; The University of Texas at San Antonio |
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ANEBDa.PE.3: EEG AND THE HUMAN PERCEPTION OF VIDEO QUALITY: IMPACT OF CHANNEL SELECTION ON DISCRIMINATION |
| Philip Davis; New Mexico State University |
| Charles Creusere; New Mexico State University |
| Jim Kroger; New Mexico State University |
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ANEBDa.PE.4: A COMPRESSIVE SAMPLING APPROACH FOR BRAIN-MACHINE INTERFACES BASED ON TRANSCRANIAL DOPPLER SONOGRAPHY: A CASE STUDY OF RESTING-STATE MAXIMAL CEREBRAL BLOOD VELOCITY SIGNALS |
| Ervin Sejdic; University of Pittsburgh |
| Luis Chaparro; University of Pittsburgh |
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ANEBDa.PE.5: CONTENT-BASED EEG DATABASE RETRIEVAL USING A MULTICLASS SVM CLASSIFIER |
| Kyungmin Su; The University of Texas at San Antonio |
| Kay Robbins; The University of Texas at San Antonio |
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ANEBDa.PE.6: USING FEEDBACK IN LONG TERM TRAJECTORY DECODING FROM LOCAL FIELD POTENTIALS |
| Kareem Shabaik; The University of Texas at Austin |
| Vijay Tadipatri; The University of Texas at Austin |
| Ahmed H. Tewfik; The University of Texas at Austin |
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ANEBDa.PE.7: TOWARDS AN EEG SEARCH ENGINE |
| Nima Bigdely-Shamlo; University of California, San Diego |
| Kenneth Kreutz-Delgado; University of California, San Diego |
| Christian Kothe; University of California, San Diego |
| Scott Makeig; University of California, San Diego |
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ANEBDa.PE.8: THE TEMPLE UNIVERSITY HOSPITAL EEG CORPUS |
| Amir Harati; Temple University |
| Sung Choi; Temple University |
| Masih Tabrizi; Temple University |
| Iyad Obeid; Temple University |
| Mercedes Jacobson; Temple University Hospital |
| Joseph Picone; Temple University |
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ANEBDa.PE.9: A DEEP LEARNING METHOD FOR CLASSIFICATION OF IMAGES RSVP EVENTS WITH EEG DATA |
| Shaheen Ahmed; The University of Texas at San Antonio |
| Mauricio Lenis; The University of Texas at San Antonio |
| Zijing Mao; The University of Texas at San Antonio |
| Jia Meng; Massachusetts Institute of Technology |
| Kay Robbins; The University of Texas at San Antonio |
| Yufei Huang; The University of Texas at San Antonio |
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ANEBDa.PE.10: TWO-DIMENSIONAL SVD FOR EVENT DETECTION IN DYNAMIC FUNCTIONAL BRAIN NETWORKS |
| Arash Golibagh Mahyari; Michigan State University |
| Selin Aviyente; Michigan State University |
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