Min-Yoon Park
Thesis Title:
Dynamic routing of information between neural populations mediates cognitive control in primate prefrontal local circuit.
Current Position:
Postdoctoral Fellow, Johns Hopkins University
Undergraduate Institution and Major:
- Yonsei University (South Korea), B.S. in Biology, 2009
- Yonsei University (South Korea), M.S. in Systems Biology, 2011
Graduate Advisor:
Matthew Chafee, Ph.D., Department of Neuroscience
Graduate Publications
- DeNicola AL, Park MY, Crowe DA, MacDonald AW 3rd, Chafee MV. Differential roles of MD thalamus and prefrontal cortex in decision making and state representation in a cognitive control task measuring deficits in schizophrenia. J Neurosci. 2020;40(8):1650-1667.
Description of Graduate Research:
Categorization is the ability to classify objects or ideas into certain groups depending on their common properties. Categorization can be a simple object classification depending on their own features, absolute categorization, or can be an abstract concept classification depending on various relationships between objects, relational categorization. Because relational categorization requires understanding relationships between objects based on their absolute features, for instance, location (right/left, above/below) or size(bigger/smaller), it is an essential cognitive function that allows us to predict future status, to infer, to make decisions, and to acquire knowledge. In spite of its fundamental importance, most of categorization studies have focused on absolute categorization. We have little understanding how the brain learns relational categories and how the brain uses the learned relational categories to predict future status or to make decisions. To approach these questions, my research will relate psychometric and neurometric functions in relational categorization to confirm that the neural signals encode the actual relationships between objects. Also, we will contrast categorization representation in prefrontal cortex under passive and active categorization conditions to determine the influence of the requirement for operant response on category representation. Furthermore, we will characterize how feature dimensions relevant to different categorization rules are selectively encoded by prefrontal neurons. Lastly, we will isolate neural correlates to predict sensory changes based on the learned relational categories in prefrontal circuits.
Graduate Level Awards and Honors:
- 3M Science and Technology Fellowship, 2013
Graduate Presentations:
Oral Presentations:
- Relational categorization with implicit rule switching. University of Minnesota Graduate Program in Neuroscience colloquium series, Minneapolis, MN, 2018.
- Neural correlates of category learning in the prefrontal-parietal network. University of Minnesota Graduate Program in Neuroscience colloquium series, Minneapolis, MN, 2017.
- Neural encoding of spatial relationships in the prefrontal-parietal network. University of Minnesota Graduate Program in Neuroscience colloquium series, Minneapolis, MN, 2016.
- Park MY, Crowe DA, Chafee MV. Strategy selection based on trial feedback in a rule-based categorization task. Graduate Program in Neuroscience Retreat, February 2019.
- Park MY, Crowe DA, Chafee MV. Strategy selection based on trial feedback in a rule-based categorization task, Society for Neuroscience Annual Meeting, 2018
Professional Memberships:
Society for Neuroscience, 2018 – present
Thesis Committee Members:
- Paul Mermelstein, Ph.D., Department of Neuroscience (Chair)
- Matthew Chafee, Ph.D., Department of Neuroscience
- Apostolos Georgopoulos, M.D., Ph.D., Departments of Neuroscience and Neurology
- Benjamin Hayden, Ph.D., Department of Neuroscience
Research Areas:
- Behavioral and Cognitive Neuroscience
- Computational Neuroscience
- Visual Neuroscience
Rotations:
- James Ashe, M.D., Departments of Neuroscience and Neurology
- Mark Thomas, Ph.D., Departments of Neuroscience and Psychology
- A. David Redish, Ph.D., Department of Neuroscience
- Matthew Chafee, Ph.D., Department of Neuroscience
Why Did You Choose UMN?
The UMN neuroscience program is one of the biggest neuroscience graduate programs. You can do research in various fields, and there is a wide range of choices of laboratories open to you.
What Advice Would You Give A First Year Graduate Student?
The first year is important and very busy because of lab rotations and the amount of studying one has to do. Therefore, time management and prioritization of your to-do list is necessary for success.