Mahnaz Arvaneh

Cognitive Neuroscience · 2011

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mahnaz Arvaneh trusts overall

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

  1. Benjamin Blankertz
  2. Moritz Grosse-Wentrup
  3. Shangkai Gao
  4. Chih-Wei Hsu
  5. Herbert Ramoser
  6. Guido Dornhege
  7. Chih-Wei Hsu
  8. Jonathan R. Wolpaw
  9. Kai Keng Ang
  10. Muhammad Naeem

Who trusts Mahnaz Arvaneh overall

  1. Turky Nayef Alotaiby
  2. Hamdi Altaheri
  3. Fathi E. Abd El-Samie

Papers from Mahnaz Arvaneh's perspective

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

  1. Optimal spatial filtering of single trial EEG during imagined hand movement. (IEEE transactions on rehabilitation engineering)
  2. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
  3. Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms (IEEE Transactions on Biomedical Engineering)
  4. Brain-computer interface research at the Wadsworth Center. (IEEE transactions on rehabilitation engineering)
  5. Optimizing Spatial filters for Robust EEG Single-Trial Analysis
  6. The BCI competition III: validating alternative approaches to actual BCI problems (IEEE transactions on neural systems and rehabilitation engineering)
  7. Learning to control brain activity: a review of the production and control of EEG components for driving brain-computer interface (BCI) systems. (Brain and Cognition)
  8. Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface (IEEE World Congress on Computational Intelligence)
  9. Brain–Computer Communication: Motivation, Aim, and Impact of Exploring a Virtual Apartment (IEEE transactions on neural systems and rehabilitation engineering)
  10. Multiclass Common Spatial Patterns and Information Theoretic Feature Extraction (IEEE Transactions on Biomedical Engineering)

Their papers