People

Current Members

Faculty

Scott Makeig

Research Scientist & Director

Research Interests

Analysis and modeling of human cognitive event-related brain dynamics as captured by high-dimensional EEG, MEG and other imaging modalities now including body motion capture.

Tzyy-Ping Jung

Research Scientist & Associate Director, Adj. Professor of Biomedical Engineering, UCSD

Research Interests

Analysis and interpretation of neural activity measured by EEG, MEG and fMRI associated with human cognition, awareness and perception.
Brain-computer interface and interaction
Development of mobile wireless EEG and BCI systems that feature dry EEG sensor arrays and integrated data and signal processing hardware and software to obtain non-invasive, high spatial and temporal resolution, recording and interpretation of brain activity in unconstrained, freely-moving human subjects within operational environments.

John Iversen

Research Scientist & Associate Director

Research Interests

Neural basis of auditory perception
Dynamics of sensory-motor interactions
Musical rhythm perception and production
Rehabilitation of movement disorders using music
The role of music in brain and behavioral development

Mateusz Gola

Research Interests

Brain mechanisms of motivation, reward, and conditioning
Neural basis of behavioral addictions (especially compulsive sexual behaviors and problematic pornography use)
Neural and psychological mechanisms of substance use disorders
Basic mechanisms of Transcranial Magnetic Stimulation (TMS) effects on brain activity
Use of TMS and EEG for addiction treatment
Development of more effective methods for addiction treatment

2014–present

Project Scientists

Zeynep Akalin Acar

Research Interests

Numerical Methods in Bioelectromagnetism
Development of Neuroelectromagnetic forward head modeling toolbox
EEG/MEG/ECoG source localization

Arnaud Delorme

Project Scientist

Research Interests

Continued development of the EEGLAB software for EEG single-trial analysis and independent component analysis.
EEG data mining using super-computers in large sets of data comprising thousands of subjects.
Brain dynamics associated with mind wandering and its relationship to the default network.
Neural correlates of meditation andother transcendental experiences in different traditions.

Jeng-Ren Duann

Research Interests

fMRI Basics
Most current analysis methods for fMRI data assume a priori knowledge of the time course of the hemodynamic response (HR) to experimental stimuli or events in brain areas of interest. In addition, they typically assume homogeneity of both the HR and the non-HR "noise" signals, both across brain regions and across similar experimental events. When HRs vary unpredictably, from area to area or from trial to trial, an alternative approach is needed. Here, we use infomax Independent Component Analysis (ICA) to detect and visualize variations in single-trial HRs in event-related fMRI data.

SCCN Position(s)

Post-doc: 2003–2004; Assistant Project Scientist: 2004–2010; Associate Project Scientist: 2010–present

Current position

Director, Biomedical Engineering Research and Development Center, China Medical University, Taichung, Taiwan 404
Associate Professor, Graduate Institute of Clinical Medical Sciecne, China Medical University, Taichung, Taiwan 404

Ruey-Song Huang

Assistant Project Scientist

Research Interests

Topographical mapping (retinotopy, tonotopy, somatotopy, multisensory maps) of cortical areas using fMRI
Multisensory representation of space in multiple reference frames; multisensory attention, interaction, and integration
Neural basis of metaphorical abstraction of space and time
Multimodal neuroimaging (EEG/fMRI/NIRS) of sensorimotor functions
Brain dynamics (EEG/fMRI) during sustained-attention tasks (driving); alertness monitoring
EEG-based brain computer interface (BCI)
Development of MR-compatible devices

Makoto Miyakoshi

Research Interests

EEG data mining
Statistical methods
Software development on MATLAB
Experimental psychology and cognitive science

Masaki Nakanishi

Research Interests

High-speed brain computer interfaces

2014–present

Julie Onton

Research Interests

EEG Neuroimaging
EEG-Based Feedback

Jason Palmer

Research Interests

Understanding and characterizing the alpha and theta rhythms using statistical signal processing, dynamical systems, and computational neuroscience methods.
General information theoretic properties of independence and mutual information based transformations for large sensor arrays, with application to EEG and speech, image and video coding.
Development of the AMICA program for large scale adaptive parallel ICA.
Development of VLSI implentation of convolutive ICA with adaptive linear process mixture model sources.