CCN Recruitment Committee Contact Information
Please contact us when you need help or have questions
- David Brang (CCN Faculty Member), djbrang@umich.edu
- Eric Martell (CCN Grad Student), erimarte@umich.edu
- Quynh Nguyen (CCN Grad Student), qnn@umich.edu
- Maddie Quirk (CCN Grad Student), quirkm@umich.edu
- Natasha Vernooij (CCN Grad Student), vernooij@umich.edu
- Logan Walls (CCN Grad Student), logwalls@umich.edu
- Kathy Xie (CCN Grad Student), kathyxie@umich.edu
CCN Website (link)
CCN Graduate Handbook (link)
Recruitment Schedule
(posted times are EST)
Thursday, February 17, 2022
- Meeting with grad student hosts (will be scheduled by the grad student)
- 5:00 – 6:00 PM fMRI Tour/TMS Demo (Optional)
Friday, February 18, 2022
(Note: Gaps between meeting times reflect breaks)
- 9:30 – 10:30 AM Morning Coffee Hour with grad students Kathy Xie & Logan Walls (Optional)
- 10:30 – 11:00 AM Departmental Welcome
- 11:15 – 12:15 PM Area Welcome/Data Blitz
- 12:45 – 1:45 PM Lunch w/Grad Students
- 2:00 – 2:30 PM CCN Meeting with faculty and/or grad students
- 2:40 – 3:10 PM CCN Meeting with faculty and/or grad students
- 3:20 – 3:50 PM CCN Meeting with faculty and/or grad students
- 4:00 – 4:30 PM CCN Meeting with faculty and/or grad students
- 5:00 – 6:00 PM CCN Social Event
Saturday, February 19, 2022
- 10:30 – 11:30 AM Virtual East Hall Tour with grad students Kathy Xie, Maddie Quirk, and Natasha Vernooij (Optional)
- 12:00 – 1:45 PM Pat Gurin Distinguished Lecture
- 2:30 – 4:00 PM Student Association Information Session
CCN Faculty
Click on the photos for videos about our research and lab websites
University of Michigan Resources
The Functional MRI Center
http://fmri.research.umich.edu
Center for Statistical Consultation and Research at the University of Michigan
The Center for Statistical Consultation and Research (CSCAR) provides support and training to University of Michigan students and faculties in areas relating to the management, collection, and analysis of data. Its scope is broad, including formal statistical analysis, data visualization, predictive modeling, data mining, management of large data sets, geographic information systems, qualitative data analysis, and text analysis.
Great Lakes Computing Cluster
The Great Lakes cluster is composed of 13,000 cores across 380 nodes, with at least 5 GB of RAM per core. Faculty receive an annual allocation for their lab of 80,000 CPU and GPU hours of high-performance computing
Psychology Subject Pool
All Psychology graduate students and faculty have access to hundreds of free hours of participant testing each semester through the Psychology Subject Pool. Approximately 1200 University of Michigan students enrolled in Introductory Psychology courses participate in 7 hours of experiments each year.
Other Methodologies Used By CCN Faculty
- Transcranial Magnetic Stimulation (TMS)
- Transcranial Direct Current Stimulation (tDCS)
- Direct Cortical Stimulation
- Electroencephalography (EEG)
- Intracranial Electroencephalography (iEEG) and electrocorticography (ECoG)
- Lesion symptom mapping
- Functional Near-Infrared Spectroscopy (fNIRS)
- Magnetic Resonance Spectroscopy (MRS)
- Behavior and psychophysics
- Computational modeling
- Eye tracking