Refine
Has Fulltext
- yes (43)
Is part of the Bibliography
- yes (43)
Year of publication
Document Type
- Review (43) (remove)
Language
- English (43) (remove)
Keywords
- Psychologie (4)
- Rezension (4)
- Toxikologie (2)
- Activation induced cell death/AICD (1)
- Ameise (1)
- Anergy (1)
- Apoptosis (1)
- CNTF (1)
- Calcineurin (1)
- Erhard, C., & Keiling, T. / The Routledge Handbook of Phenomenology of Agency (1)
- Immunohistochemistry; Immunogold-silver staining; FITC- anti-FITC system; Leucocyte subpopulations; Two-color staining (1)
- Kanzow, C. Y. Cui, J.-S. Pang: “Modern Nonconvex Nondifferentiable Optimization” (1)
- Medizin (1)
- NF-κB (1)
- NFATc (1)
- NFATc1/αA (1)
- Nektarium (1)
- Neurobiologie (1)
- P300 (1)
- Proliferation (1)
- book review (1)
- brain computer interface (1)
- chick (1)
- ciliary neurotrophic factor (1)
- context (1)
- emotion (1)
- event-related potential (1)
- exercise (1)
- face perception (1)
- facial expression (1)
- literature (1)
- motoneurons (1)
- nerve lesion (1)
- neurotrophic factor (1)
- novel (1)
- rat (1)
- yeast U3 localization (1)
- “basic emotion” (1)
Institute
- Theodor-Boveri-Institut für Biowissenschaften (15)
- Neuphilologisches Institut - Moderne Fremdsprachen (5)
- Institut für Psychologie (4)
- Institut für Psychologie (bis Sept. 2007) (4)
- Physikalisches Institut (3)
- Institut für Klinische Neurobiologie (2)
- Institut für Molekulare Infektionsbiologie (2)
- Institut für Pharmakologie und Toxikologie (2)
- Institut für Evangelische Theologie und Religionspädagogik (1)
- Institut für Mathematik (1)
A brain-computer interface (BCI) enables communication without movement based on brain signals measured with electroencephalography (EEG). BCIs usually rely on one of three types of signals: the P300 and other components of the event-related potential (ERP), steady state visual evoked potential (SSVEP), or event related desynchronization (ERD). Although P300 BCIs were introduced over twenty years ago, the past few years have seen a strong increase in P300 BCI research. This closed-loop BCI approach relies on the P300 and other components of the ERP, based on an oddball paradigm presented to the subject. In this paper, we overview the current status of P300 BCI technology, and then discuss new directions: paradigms for eliciting P300s; signal processing methods; applications; and hybrid BCIs. We conclude that P300 BCIs are quite promising, as several emerging directions have not yet been fully explored and could lead to improvements in bit rate, reliability, usability, and flexibility.