We Track Attention, Learning, & Memory in the Brain
"My research focuses on understanding how the healthy brain maintains precise visual working memory representations, particularly through subsequent interference. In addition, I hope to understand what neural factors may underlie memory failures, and my current postdoctoral work seeks to establish whether interventions like real-time neurofeedback can be used to manipulate working memory and long-term memory outcomes."
"My goal is to leverage insights from episodic memory research to better understand emotional associative learning. My research applies modern cognitive neuroscience techniques such as MVPA and machine learning to study fear extinction in both healthy and clinical populations. My work focuses on fear extinction as an experimental model of exposure therapy."
"Motor deficits, such as the ability to individuate finger movements, is a common impairment associated with stroke that often never reaches full recovery. Here, we use hyperalignment to create a neural template of ideal brain activity from healthy participants. Our goal is to use this template to guide recovery in a real-time fMRI neurofeedback experiment post-stroke."
"My interest is in exploring the role of our emotional state on our memory systems. Specifically, I am interested in the ways in which persistent mental illness can greatly affect our working memory capabilities and our ability to deal with the daily challenges of an information rich life."
"My main interest lies in the interaction between memory and attention. Specifically, I am interested in how attentional control shapes memory representations and how internal representations influence ongoing processes. My research combines cognitive neuroscience and computational techniques to explore these questions."
"I’m fascinated by the adaptive nature of human memory. In particular, I’m curious about how the brain can maintain stable yet flexible representations in working memory. I investigate how neural dynamics in working memory contribute to the formation and organization of long-term memories, and how the brain uses prior knowledge to guide our behaviors. My research combines psychophysics, cognitive neuroscience, and machine learning techniques to explore these topics."
Lab Photos Through The Years
Tracy WangResearch Program ManagerMicrosoft Azure Engineering
Alumni: Doctoral Students
Remy Mallett '21PostdocNorthwestern UniversityPI: Ken Paller
Seth Koslov '20PostdocUniversity of PennsylvaniaPI: Brett Foster
Hyojeong Kim '20Postdoc
University of Colorado, BoulderPI: Marie Banich
Ethan Oblak '19Postdoc
RIKEN Brain Science Institute, Japan
PI: Kazuhisa Shibata
Alumni: Masters Students
Allison Bruning '21LecturerTexas State University
Allison Berman '18Scientific Software Engineer
Mark Hollenbeck '16Director, Data Science
Selected Alumni: Research Staff
Brandon TorioM.S. Student
Johns Hopkins University
Anu MummaneniUndergraduate Student
University of Chicago
Katlyn Hedgpeth '17Technical Analyst
Rochelle Stewart '15Ph.D. Student
Florida State UniversityPI: Jesse Cougle
Song LiuPh.D. Student
University of Texas at DallasPI: Mick Rugg
Arjun MukerjiPh.D. Student
University of California, BerkeleyPI: Michael Silver
Katerina PlacekSenior Data Scientist
Selected Alumni: Undergrads
Destiny Gonzales '21Ph.D. StudentUniversity of Nevada, Las Vegas
PI: Erin Hannon
Meghan Mallya '21M.D. StudentUniversity of Texas Medical Branch at Galveston
Landry Bulls '20Research Specialist
Dartmouth CollegePI: Mark Thornton
Robaa Al-Najar '19M.D. Student
Long School of Medicine, UT Health San Antonio
Stephanie Jeanneret '19M.S. Student
University of GenevaPI: Evie Vergauwe
Bettina Bustos '18Ph.D. Student
University of IowaPI: Jiefeng Jiang
Ellen Crowe '17M.D. Student
McGovern Medical School