Tuesday, 22 September 2015

Call for Papers to IEEE TFS 2015 Special Issue on Brain Computer Interface (BCI)

The submission deadline has been extended from October 1, 2015 to November 1, 2015


Brain computer interfaces (BCIs) have attracted rapidly increasing research interest in the last decade, thanks to recent advances in neurosciences, wearable/mobile biosensors, and analytics. However, there are many challenges in the transition from their laboratory settings to real-life applications, including the reliability and convenience of the sensing hardware, the availability of high-performance and robust algorithms for signal analysis and interpretation, and fundamental advances in automated reasoning that enable the reasoning and generalization across individuals.

Computational intelligence techniques, particularly fuzzy sets and systems, have demonstrated superior performance in handling uncertainties in many real-world applications. They have also started attracting more attentions in the BCI domain. More specifically, fuzzy sets and systems have been used in electroencephalogram (EEG) feature extraction (e.g., self-organizing fuzzy neural networks, fuzzy region of interest, fuzzy wavelet packet), pattern recognition (e.g., fuzzy ARTMAP, type-1 and type-2 fuzzy logic systems, fuzzy-neural systems, fuzzy c-means clustering, fuzzy integrals, fuzzy SVM, fuzzy similarity, rough sets), optimization (e.g., fuzzy particle swarm optimization), etc..

This special issue aims at showcasing the most exciting and recent advances in fuzzy sets and systems for BCI and related topics. It welcomes survey, position, research, and application papers.


The topics include but are not limited to:
  • Fuzzy control for BCI
  • Fuzzy signal processing for BCI/EEG/ ECoG/ MEG/MRI
  • Fuzzy feature extraction for BCI/EEG/ ECoG/ MEG/MRI
  • Fuzzy pattern recognition (classification, regression) for BCI/EEG/ ECoG/MEG/MRI
  • Fuzzy sets and systems for handling uncertainties and individual differences in BCI
  • Fuzzy approaches applied to data fusion of EEG with other physiological and contextual sensing modalities
  • Hybrid approaches that combine fuzzy sets and systems with machine learning, data mining, or other computational intelligence techniques for BCI


  • November 1, 2015: Submission deadline
  • January 1, 2016: Notification of 1st round review
  • February 1, 2015: Revised submission due
  • April 1, 2016: Final notice of acceptance/reject
  • August 2016: Special issue publication


Manuscripts should be prepared according to the instruction of the “Information for Authors” section of the journal found and submission should be done through the IEEE TFS journal website: http://mc.manuscriptcentral.com/tfs-ieee.  Clearly mark “Special Issue on Brain Computer Interfaces” in your cover letter to the Editor-in-Chief.  All submitted manuscripts will be reviewed using the standard procedure that is followed for regular submissions.


Dr. Dongrui Wu
DataNova, USA

Dr. Brent Lance
Translational Neuroscience Branch
Army Research Laboratory, USA

Dr. Vernon Lawhern
Translational Neuroscience Branch
Army Research Laboratory, USA

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