@article{ETD,
      recid = {376},
      author = {Huang, Yonghong},
      title = {Event-related potentials in electroencephalography  characteristics and single-trial detection for rapid object  search},
      publisher = {Oregon Health and Science University},
      school = {Ph.D.},
      address = {2010},
      number = {ETD},
      abstract = {Brain–computer interfaces (BCIs) enable communication and  device control without muscle movement and offer important  benefits for people with severe motor impairments. This  thesis develops a more efficient EEG‑based BCI that detects  event‑related potentials (ERPs) from single trials,  improving throughput for visual image search. Using  cross‑session training, a hybrid generative–discriminative  classifier, and computationally efficient learning methods,  the system achieves strong ERP detection without  performance loss. The thesis also identifies a neural  correlate of visual perception by linking ERP responses to  task and target difficulty, suggesting that the brain  dynamically increases cognitive resource allocation during  challenging visual‑recognition tasks.},
      url = {http://digitalcollections.ohsu.edu/record/376},
      doi = {https://doi.org/10.6083/M48P5XGJ},
}