INC Members
Directors
Administration
Stephanie Corneil
Research Administrator
858-534-7880
scorneil@ucsd.edu
Contracts and Grants Administration including Subawards
Department Funds Assistance
Rachel Weistrop
Digital Communications Specialist
858-922-5208
rweistrop@ucsd.edu
INC Webmaster
Editor, EEGLAB Newsletter
Student Assistants
Core Faculty
Zeynep Akalin Acar
Assistant Project Scientist
SCCN
Research Interests
- Numerical Methods in Bioelectromagnetism
- Development of Neuroelectromagnetic forward head modeling toolbox
- EEG/MEG/ECoG source localization
Frederic Broccard
Assistant Project Scientist
INC
Research Interests
- Neuromorphic neural interfaces
- Adaptive processes in artificial and biological systems
- Neural computation at multiple levels of biological organization
- Combined EEG brain dynamics and eye tracking
Andrea Chiba
Professor
TDLC Co-Director / Cognitive Sciences and Program in Neuroscience
Arnaud Delorme
Project Scientist
SCCN
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
Project Scientist
SCCN
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.
Mateusz Gola
Associate Research Scientist
SCCN
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
Ruey-Song Huang
Assistant Project Scientist
SCCN
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
John Iversen
Associate Research Scientist
SCCN
Email: jiversen@ucsd.edu - website
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
Tzyy-Ping Jung
Research Scientist/Adjunct Professor
SCCN
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.
Scott Makeig
Research Scientist
SCCN 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.
Marcelo Mattar
Assistant Professor
Cognitive Science
marcelomattar@gmail.com - website
Research Interests
- The neuroscience of memory and decision making
- Designing computational models and neuroscience experiments to understand how we simulate the future to guide our decisions
Gal Mishne
Assistant Professor
Halıcıoğlu Data Science Institute
Research Interests
- Manifold learning
- Diffusion geometry
- Computational neuroscience
- Image processing and Biomedical signal processing
- Applied harmonic analysis
Makoto Miyakoshi
Assistant Project Scientist
SCCNResearch Interests
- EEG data mining
- Statistical methods
- Software development on MATLAB
- Experimental psychology and cognitive science
Julie Onton
Associate Project Scientist
INC
Research Interests
- To identify and localize EEG dynamics associated with PTSD and TBI in the military population to better diagnose and treat these disorders
To optimize low-profile, at-home sleep EEG recordings and subsequent analyses to identify sleep abnormalities in behavioral health settings and therefore improve overall treatment outcomes
Ying Wu
Assistant Project Scientist
SCCN
Research Interests
- Semantic processing
- EEG brain dynamics and learning
- Second language acquisition
- Discourse analysis and pragmatics
- Social neuroscience
- Gesture and action comprehension
Affiliated Faculty
Kenneth Kreutz-Delgado
Electrical and Computer Engineering
858-534-7895
Fadel Zeidan
Department of Anesthesiology; Center for Mindfulness
858-246-2391
Staff Researchers
Jessica Cramer
Graduate Students
Kuan-Jung Chiang
Postdoc Scholars
Visiting Scholars
Dan Callan
Research Interests
The goal of my research is to investigate neural processes underlying complex multi-sensory perceptuomotor tasks utilizing very rich ecologically valid conditions.
Xiao Hu
Research Interests
Learning analytics, music information retrieval and cultural heritage digitisation. The goal of my research is to improve people’s learning and well-being by designing and developing intelligent systems based on the ever-growing amounts and complexity of user data.