High-throughput image search via single-trial event detection in a rapid serial visual presentation task

International IEEE/EMBS Conference on Neural Engineering, NER

Volumn 2003-January, Issue , 2003, Pages 7-10

  Sajda, Paul ^a   Gerson, Adam ^a   Parra, Lucas ^b  

^a Department of Earth and Environmental Sciences   (United States)

^b SARNOFF CORPORATION   (United States)

Author keywords

Biomedical engineering; Brain modeling; Electrodes; Electroencephalography; Event detection; Image analysis; Image recognition; Layout; Object detection; Object recognition

Indexed keywords

BIOMEDICAL ENGINEERING; BRAIN MODELS; ELECTRODES; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; IMAGE RECOGNITION; IMAGE RETRIEVAL; OBJECT DETECTION; OBJECT RECOGNITION; THROUGHPUT;

EVENT DETECTION; HIGH SPATIAL DENSITY; LAYOUT; LINEAR DISCRIMINATION; LINEAR DISCRIMINATOR; MULTIPLE TIME WINDOWS; RAPID SERIAL VISUAL PRESENTATIONS; SINGLE-TRIAL EEG;

IMAGE ANALYSIS;

EID: 84942588457     PISSN: 19483546     EISSN: 19483554     Source Type: Conference Proceeding    
DOI: 10.1109/CNE.2003.1196297     Document Type: Conference Paper

References (6)

1. C. Keysers, K.-K. Xiao, P. Földiák, and D. I. Perrett, "The speed of sight," Journal of Cognitive Neuroscience, vol. 13, no. 1, pp. 90-101, 2001.
2. S. Thorpe, D. Fize, and C. Marlot, "Speed of processing in the human visual system," Nature, vol. 381, pp. 520-522, June 1996.
3. L. Parra, C. Alvino, A. Tang, B. Pearlmutter, N. Yeung, A. Osman, and P. Sajda, "Linear spatial integration for single trial detection in encephalography," NeuroImage, vol. 17, no. 1, pp. 223-230, 2002.
4. J. van Hateren and A. van der Schaaf, "Independent component filters of natural images compared with simple cells in primary visual cortex," Proc.R.Soc.Lond. B, vol. 265, pp. 359-366, 1998.
5. M. I. Jordan and R. A. Jacobs, "Hierarchical mixtures of experts and the EM algorithm," Neural Computation, vol. 6, pp. 181-214, 1994.
6. L. Parra, C. Spence, A. Gerson, and P. Sajda, "Response error correction - a demonstration of improved human-computer performance using real-time EEG monitoring," IEEE Trans. Rehab. Eng., submitted.