Exploiting P300 amplitude variations can improve classification accuracy in Donchin's BCI speller

No abstract is available for this paper.

• Publication year

  2009

• Venue

  International IEEE/EMBS Conference on Neural Engineering

• Publication date

  2009-06-23

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/NER.2009.5109337
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• P300-Based BCI Mouse With Genetically-Optimized Analogue Control

  2008cited by this paper
• BCI Competition III: Dataset II- Ensemble of SVMs for BCI P300 Speller

  2008influential reference
• Target probability affects the likelihood that a P300 will be generated in response to a target stimulus, but not its amplitude.

  2007cited by this paper
• Updating P300: an integrative theory of P3a and P3b.

  2007cited by this paper
• Effects of SOA and flash pattern manipulations on ERPs, performance, and preference: implications for a BCI system.

  2006cited by this paper
• A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance.

  2006cited by this paper
• P3a from visual stimuli: task difficulty effects.

  2006cited by this paper
• The BCI competition III: validating alternative approaches to actual BCI problems

  2006influential reference
• Possible sources of perceptual errors in P300-based speller paradigm

  2004cited by this paper
• Target-to-target interval versus probability effects on P300 in one- and two-tone tasks.

  2003cited by this paper
• ERPs evoked by different matrix sizes: implications for a brain computer interface (BCI) system

  2003cited by this paper
• P300 amplitude is determined by target-to-target interval.

  2002cited by this paper
• Brain-computer interface technology: a review of the first international meeting.

  2000cited by this paper
• Numbers of preceding nontargets differentially affect responses to targets in normal volunteers and patients with schizophrenia: a study of event-related potentials.

  1995cited by this paper
• Cognitive and biological determinants of P300: an integrative review.

  1995cited by this paper
• Probability and inter-stimulus interval effects on the P300 from auditory stimuli.

  1990cited by this paper
• Is the P300 component a manifestation of context updating?

  1988cited by this paper
• Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials.

  1988influential reference
• Temporal and sequential probability in evoked potential studies.

  1981cited by this paper
• The effect of stimulus sequence on the waveform of the cortical event-related potential.

  1976cited by this paper

• Designing a BCI Stimulus Presentation Paradigm Using a Performance-Based Approach

  2018cites this paper
• Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction

  2017influential citation
• FEATURE SELECTION & EXTRACTION ALGORITHMS FOR BRAIN COMPUTER INTERFACE

  2017cites this paper
• Adaptive Brain-Computer Interface Systems For Communication in People with Severe Neuromuscular Disabilities

  2016influential citation
• Toward An Adaptive P300 Based Brain Computer

  2014cites this paper
• A genetic interval type-2 fuzzy logic-based approach for generating interpretable linguistic models for the brain P300 phenomena recorded via brain–computer interfaces

  2014cites this paper
• Comparative study of data fusion algorithms in P300 Based BCI

  2013cites this paper
• Novel sequential protocols for a ERP based BCI mouse

  2011cites this paper
• An adaptive P300-based control system

  2011cites this paper
• Exploring multiple protocols for a brain-computer interface mouse

  2010cites this paper
• Documenting, modelling and exploiting P300 amplitude changes due to variable target delays in Donchin's speller

  2010cites this paper
• A novel approach to improve the performance of the P300 speller paradigm

  2010cites this paper
• Duke University Dissertation Template

  2007cites this paper
• Brain–Computer Interfaces Handbook Technological and Theoretical Advances

  year unknowninfluential citation