Swartz Center for Computational Neuroscience (SCCN) at University of California, San Diego (UCSD)

Papers and research supported in part or in whole by The Swartz Foundation

Robbins, K., Truong, D., Appelhoff, S., Delorme, A. and Makeig, S., (2021) Capturing the nature of events and event context using Hierarchical Event Descriptors (HED) (bioArXiv, June 14, 2021).

Miyakoshi, M., Gehrke, L., Gramann, K., Makeig, S. and Iversen, J., (2021) The AudioMaze: An EEG and motion capture study of human spatial navigation in sparse augmented reality. European Journal of Neuroscience. (3 GS citations).

Martínez-Cancino, R., Delorme, A., Truong, D., Artoni, F., Kreutz-Delgado, K., Sivagnanam, S., Yoshimoto, K., Majumdar, A. and Makeig, S., (2021) The open EEGLAB portal interface: high-performance computing with EEGLAB. NeuroImage, 224, p.116778. (14 GS citations).

X Gu, Z Cao, A Jolfaei, P Xu, D Wu, TP Jung, CT Lin (2021) EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their applications. IEEE/ACM transactions on computational biology and bioinformatics, (49 GS citations).

Piazza, C., Cantiani, C., Miyakoshi, M., Riva, V., Molteni, M., Reni, G. and Makeig, S., (2020) EEG effective source projections are more bilaterally symmetric in infants than in adults. Frontiers in human neuroscience, 14, p.82. (3 GS citations).

Martínez-Cancino, R., Delorme, A., Wagner, J., Kreutz-Delgado, K., Sotero, R.C. and Makeig, S., (2020) What can local transfer entropy tell us about phase-amplitude coupling in electrophysiological signals?. Entropy, 22(11), p.1262. (4 GS citations).

Shikauchi Y, Miyakoshi M, Makeig SD, Iversen JR (2020) Bayesian models of human navigation behaviour in an augmented reality audiomaze. Eur J Neurosci.

CY Chang, SH Hsu, L Pion-Tonachini, TP Jung - (2019) Evaluation of artifact subspace reconstruction for automatic artifact components removal in multi-channel EEG recordings. IEEE Transactions on Biomedical Engineering, (86 GS citations).

Pion-Tonachini, L., Kreutz-Delgado, K. and Makeig, S., 2019. ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. NeuroImage, 198, pp.181-197. (211 GS citations).

Iversen, J.R. and Makeig, S., 2019. MEG/EEG data analysis using EEGLAB. Magnetoencephalography: From Signals to Dynamic Cortical Networks, pp.391-406. (22 GScitations).

Wagner, J., Makeig, S., Hoopes, D., & Gola, M. (2019). Can Oscillatory Alpha-Gamma Phase-Amplitude Coupling be Used to Understand and Enhance TMS Effects?. Frontiers in Human Neuroscience, 13:263

Acar, Z.A., Makeig, S. (2010) Neuroelectromagnetic forward head modeling toolbox. J Neurosci Methods. 2010 Jul 15;190(2):258-70. Epub 2010 May 8. PMID: 20457183

Acar, Z.A., Worrell, G., Makeig, S. (2009) Patch-basis electrocortical source imaging in epilepsy. Conf Proc IEEE Eng Med Biol Soc. 2009;2009:2930-3.PMID: 19964603

Chen Y-C, Duann J-R, Chuang S-W, Lin C-L, Ko, L-W, Jung T-P, Lin, C-T. Spatial and Temporal EEG Dynamics of Motion-sickness, NeuroImage, 49: 2862-70, 2010.

Duann, J.R., Chiou, T.C., Lin, C.T., Ko, L.W., Yang, F.S., & Gramann, K. (2009). EEG-based spatial navigation estimation in a virtual reality driving environment. Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 435-438.

Gramann, K., & Schandry, R. (2009). Psychophysiologie. Beltz: Weinheim. (Textbook Psycholphysiology, 4th Edition)

Gramann, K., Toellner, T., & Mueller, H. (in press). Dimension-based attention modulates early visual processing. Psychophysiology.

Gramann, K., Onton, J., Riccobon, D., Mueller, H., Bardins, S., & Makeig, S. (in press). Human brain dynamics accompanying use of egocentric and allocentric referene frames during navigation. Journal of Cognitive Neuroscience.

Gwin, J.T., Gramann, K., Makeig, S., & Ferris, D.P. (in press). Removal of movement artifact from high-density EEG recorded during walking and running. Journal of Neurophysiology.

Lin, C-T, Ko, L-W, Chang, M-H, Duann, J-R, Chen, J-Y, Su, T-P, Jung, T-P. Review of Wireless and Wearable Electroencephalogram Systems and Brain-Computer Interfaces - A Mini-Review, Gerontology, 56: 112-9, 2010.

Lin, Y-P, Duann, J-R, Chen, J-H, Jung, T-P, EEG Dynamics of Musical Emotion Perception Revealed by Independent Spectral Components, NeuroReport, in press.

Lin, Y-P, Wang, C-H, Jung, T-P, Wu, T-L, Jeng, S-K, Duann, J-R, and Chen, J-H. EEG-based Emotion Recognition in Music Listening, IEEE Transactions on Biomedical Engineering, in press.

Lin, C-T, Huang, K-C, Chao, C-F, Chen, J-A, Chiu, T-W, Ko, L-W, Jung, T-P. Tonic and phasic EEG and  behavioral changes induced by arousing feedback, NeuroImage, 52: 633–42, 2010.

Makeig, S., Gramann, K., Jung, T.-P., Sejnowski, T.J., & Poizner, H. (2009). Linking Brain, Mind and Behavior. International Journal of Psychophysiology, 73(2), 95-100.

Onton, J., Makeig, S. (2009) High-frequency Broadband Modulations of Electroencephalographic Spectra. Front Hum Neurosci. 2009 Dec 23;3:61.PMID: 20076775

Plank, M., Müller, H.J., Onton, J., Makeig, S., & Gramann, K. (2009). VR as promising tool for experimental research on human spatial navigation. In: S. Welke, H. Kolrep, & M. Roetting (Eds.), Biophysiologische Interfaces in der Mensch-Maschine-Interaktion, Fortschritt-Berichte VDI, 50-62.        

Plank, M., Onton, J., Mueller, H.J., Makeig, S., & Gramann, K. (accepted). Human EEG correlates of egocentric and allocentric path integration. Lecture Notes in Computer Science.

Töllner, T., Zehetleitner, M., Gramann, K., & Müller, H.J. (in press). Top-down weighting of visual dimensions: behavioural and electrophysiological evidence. Vision Research

Zhang, L., Chi, Y., Edelstein, E., Schulze, J., Gramann, K., Velasquez, A., Cauwenberghs, G., & Macagno, E. (in press). Wireless Physiological Monitoring and Ocular Tracking: 3D Calibration in a Fully-Immersive Virtual Health Care Environment. IEEE Transactions on Biomedical Engineering.

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