Cognitive Neuroscience

The University of Colorado
 

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.

Neuroimaging Resources

Cognitive Neuroscience Links

Cognitive Neuroscience Faculty

 

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 in 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 function 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 Neuromagetic Imaging Center (http://www.neuromeg.org/), 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

Research interests:  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, Assistant 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. 

 

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.