Happy New Year! This marks the 63rd year for the IEEE Transactions on Biomedical Engineering (TBME). I am happy to report that TBME continues to do well (read full text).
Happy New Year! This marks the ۶۳rd year for the IEEE Transactions on Biomedical Engineering (TBME). I am happy to report that TBME continues to do well (read full text). TBME was ranked ۶th in both Eigenfactor Score and Total Citations among BME journals by Journal Citation Reports, ranked ۴th in Biomedical Technology by Google Scholar according to the H5-index and ۷th by SJR report according to the H-index across all BME publications. I would like to sincerely thank our dedicated editors and reviewers for their hard work, and all of the authors whose scientific contributions make TBME what it is. We anticipate TBME will continue to grow and look forward to your valuable contributions in 2016. To welcome our readers to 2016, we are publishing the BRAIN special issue consisting of 22 articles reporting innovative BRAIN research. The issue is edited by: F. Babiloni, W. Besio, W. Chen, L. Ding, C. Henriquez, P. Irazoqui, P. Loughlin, V. Marmarelis, G. Muller-Putz, K.R. Muller, M. Sawan, F.G. Zeng, and B. Ziaie.
EEG Source Imaging Enhances the Decoding of Complex Right-Hand Motor Imagery Tasks
Separable Common Spatio-Spectral Patterns for Motor Imagery BCI Systems
Decoding Brain States Based on Magnetoencephalography from Prespecified Cortical Regions
Learning Recurrent Waveforms within EEGs
Single-trial ERP component analysis using a spatiotemporal LCMV beamformer
Combined single neuron unit activity and local field potential oscillations in a human visual recognition memory task
Spatial Coherence Profiles of Ictal High-Frequency Oscillations Correspond to those of Interictal Low-Frequency Oscillations in the ECoG of Epileptic Patients
Analysis of Oscillatory Neural Activity in Series Network Models of Parkinson's Disease During Deep Brain Stimulation
Dysfunction of Neurovascular/Metabolic Coupling in Chronic Focal Epilepsy
Chronic in vivo evaluation of PEDOT/CNT for stable neural recordings