Cognitive Neuroscience
Cognitive neuroscience research at the University of Colorado thrives across different departments and different areas of psychology. The following links highlight relevant resources and faculty profiles further down on this page.
Neuroimaging Resources
Functional Magnetic Resonance Imaging (fMRI)
The
Brain Imaging Center, directed by Robert Freedman, M.D., Chairman of the
Department of Psychiatry, is located at Building 400 on
the Fitzsimmons Campus.
The core equipment of the center is a research dedicated 3.0 Tesla human MRI
scanner, purchased with a fund provided by the Office of National Drug Control
Policy, Executive Office of the President of the United States. This MR facility
has been operational since May, 2003. The core team of the center includes
psychiatrists, psychologists, radiologists, and physicists. This center provides
support of functional MRI, anatomical MRI, and magnetic resonance spectroscopy
(MRS) studies to researchers at the university. For more information about
the center, please contact Yiping Du, Ph.D., Technical Director, at 303-724-1717,
or e-mail to Yiping.Du@UCHSC.edu.
Electroencephalography (EEG, ERP)
Tim
Curran’s laboratory currently houses two 128-channel EEG systems (Electrical
Geodesics Inc.). One system is permanently housed in the Muenzinger Psychology
Building (D458). The other is a portable system that is currently located at
the General Clinical Research Center on the Boulder Campus, where the system is
being used in research examining drug effects on learning and memory. Tiffany
Ito’s lab in the Muenzinger Psychology Building houses a 32 channel EEG
system (Neuroscan Synamps). These systems are available for use by other faculty
and graduate students.
Whole-Head Magnetoencephalography (MEG)
The
Neuromagnetic Imaging Center, directed
by Dr. Martin Reite, is located in the Department of Psychiatry at the University
of Colorado Health Sciences Center. The center currently houses a 4-D Neuroimaging
248-channel Model 3600 Neuromagnetometer with 64 EEG channels. The MEG system is
available for use by other faculty and graduate students.
Cognitive Neuroscience Links
- Center for Neuroscience
- Institute of Cognitive Science
- Institute for Behavioral Genetics
- University of Colorado Health Sciences Center
- University of Colorado School of Medicine, Department of Psychiatry
- General Clinical Research Center
- Research in Neural and Statistical Computation
Cognitive Neuroscience Faculty
- Marie T. Banich, Professor of Psychology (Cognitive) & Psychiatry
- mbanich@psych.colorado.edu
- http://psych.colorado.edu/~mbanich
- 303-492-6655
- Neural bases of executive function and attentional control in normal and clinical populations; Integration of information across brain regions; Neural bases of the development of executive control during adolescence.
- Tim Curran, Associate Professor of Psychology (Cognitive)
- tcurran@psych.colorado.edu
- http://psych.colorado.edu/~tcurran
- 303-492-5040
- Human learning, memory, and cognition; focusing on ERP studies of recognition memory and perceptual learning.
- Yiping Du, Ph.D., Associate Professor in Psychiatry and Radiology
- Yiping.Du@UCHSC.edu
- 303-724-1717
- Development of new techniques in MRI, with a focus in functional MRI (fMRI). My current research interests include the reduction of image artifacts of echo-planar imaging (EPI) in fMRI, T2* analysis and mapping, and perfusion MRI using the arterial spin labeling technique.
- Lewis O. Harvey, Jr., Professor of Psychology (Cognitive)
- lharvey@psych.colorado.edu
- http://psych.colorado.edu/~lharvey/
- 303-492-8882
- Vision and Visual Perception. I use psychophysical methods to measure the properties of perceptual and sensory systems.
- Tiffany Ito, Associate Professor of Psychology (Social)
- tito@psych.colorado.edu
- http://psych.colorado.edu/~tito/
- 303-492-5879
- My research examines the neural bases of social behavior, focusing in particular on issues relevant to stereotyping, prejudice, and affect and emotion. Specific topics being investigated include the neural basis of stereotype activation and inhibition and the processing of social cues from faces, primarily through event-related brain potentials and fMRI.
- Albert Kim, Assistant Professor of Psychology (Cognitive)
- Albert.Kim@colorado.edu
- http://psych.colorado.edu/~aakim/
- 303-735-1606
- I study human language understanding. I use ERPs, behavioral measures, and computational models.
- Michael Mozer, Professor of Computer Science
- mozer@colorado.edu
- http://www.cs.colorado.edu/~mozer/
- 303-492-4103
- Computational models of human visual perception and attention, awareness, and cognitive control; neurobiological models of learning
- Yuko Munakata, Associate Professor of Psychology (Cognitive)
- munakata@psych.colorado.edu
- http://psych.colorado.edu/~munakata
- 303-735-5499
- Memory development in prefrontal and posterior cortical areas, behavioral dissociations as a window onto the nature and organization of knowledge representations, computational and behavioral experiments informed by single-cell recording, lesion, and neuroimaging studies.
- Randall O'Reilly, Associate Professor of Psychology (Cognitive)
- oreilly@psych.colorado.edu
- http://psych.colorado.edu/~oreilly
- 303-492-0054
- I develop computational and formal models of the biological bases of cognition (computational cognitive neuroscience), focusing on specialization of function in and interactions between hippocampus, prefrontal cortex & basal ganglia, and posterior neocortex in learning, memory, attention, and controlled processing.
- Erik Willcutt, Assistant Professor of Psychology (Clinical)
- willcutt@psych.colorado.edu
- http://psych.colorado.edu/~willcutt/index.html
- 303-492-3304
- My research program focuses on the identification of etiological factors that lead to the development of psychopathology, with a specific focus on childhood disruptive disorders and learning disabilities. In addition to behavioral and molecular genetic studies, collaborative projects with Dr. Marie Banich, Dr. Tim Curran, and Dr. Randy O'Reilly employ techniques such as functional magnetic resonance imaging, event-related potentials, and neural network modeling to identify the specific neural substrates that play a role in these disorders. By integrating these results with data from clinical studies, we hope to develop comprehensive models that explain how genetic and environmental risk factors influence brain development and lead to the final behavioral symptoms of these disorders.
