Cognitive Neuroscience research at the 精品SM在线影片 thrives across different departments and different areas of psychology. The following are some of the primary resources available to those wishing to conduct cutting-edge cognitive science research.

Resources

Functional Magnetic Resonance Imaging (fMRI)

fmri scannerCU聽Boulder and the (MRN) of Albuquerque, New Mexico, have joined forces as the 聽(INC). This marks the start of a long-term collaboration between the Mind Research Network聽and CU聽Boulder that will significantly enhance the neuroimaging capabilities of both organizations. Department of Psychology and Neuroscience Professor Marie Banich is the Executive Director of the Consortium.

At the heart of the center is a state of the art Siemens 3T Trio Magnetic Resonance Imaging System. The scanner is located at CU聽Boulder鈥檚 Center for Innovation and Creativity (CINC) ().

Electroencephalography (EEG, ERP)

eeg pictureThree faculty have laboratories with EEG recording capabilities. Tim Curran鈥檚 laboratory currently uses two 256-channel and one 128-channel EEG systems (Electrical Geodesics Inc.). The 256-channel systems are housed in the Muenzinger Psychology and Neuroscience Building (D458 & D464C). The 128-channel system is currently located at the Clinical and Translational Research Center on the Boulder Campus, where the system is being used in research examining drug effects on learning and memory. Tiffany Ito鈥檚 lab in the Muenzinger Psychology and Neuroscience Building houses 3 EEG systems (Neuroscan Synamps). Another full EEG system (Neuroscan Synamps) is housed in Al Kim鈥檚 lab at the Center for Innovation and Creativity (CINC). These systems are available for use by other faculty and graduate students.

Computational Modeling

computer simulation graphicOur program emphasizes the use of computational models to inform our understanding of聽brain function. In particular, we aim to use our knowledge from other neuroscience methods聽(fMRI & EEG) to inform our computational models and vice-versa. 聽We have a number of large scale high-performance computational resources available, managed by our excellent at the Office of Information Technology.