Ali Bashashati

Cognitive Neuroscience · 2007–2014

A researcher in the Science corpus: 7 papers; trusts 19 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Bashashati trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Gert Pfurtscheller
  2. Andrea Kübler
  3. Christa Neuper
  4. Herbert Ramoser
  5. Jonathan R. Wolpaw
  6. Reinhold Scherer
  7. Emanuel Donchin
  8. Hilit Serby
  9. Peter Sykacek
  10. Benjamin Blankertz

Who trusts Ali Bashashati overall

  1. Fabien Lotte
  2. Brendan Z. Allison
  3. Di Wen
  4. Zuoguan Wang
  5. Khald Ali I. Aboalayon
  6. Irene Winkler
  7. Reza Abiri
  8. Mikhail A. Lebedev
  9. Vernon J. Lawhern
  10. Miguel A. L. Nicolelis

Papers from Ali Bashashati's perspective

Ordered by how strongly the researchers Ali Bashashati trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Design and implementation of a brain-computer interface with high transfer rates (IEEE Transactions on Biomedical Engineering)
  2. Classifying Single Trial EEG: Towards Brain Computer Interfacing (Neural Information Processing Systems)
  3. Brain-computer interface technology: a review of the first international meeting. (IEEE transactions on rehabilitation engineering)
  4. Brain-computer interface research at the Wadsworth Center. (IEEE transactions on rehabilitation engineering)
  5. Brain-computer interfaces based on the steady-state visual-evoked response. (IEEE transactions on rehabilitation engineering)
  6. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
  7. Linear and nonlinear methods for brain-computer interfaces (IEEE transactions on neural systems and rehabilitation engineering)
  8. Neural Networks for Pattern Recognition
  9. Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI). (IEEE transactions on rehabilitation engineering)
  10. Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data (NeuroImage)

Their papers