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Distinguished Lecturer Series in Brain and Cognitive Sciences will begin its first season of public lectures by nationally and internationally-recognized researchers on Wednesday, October 5, 2009 beginning at 4pm.
All lectures are free and open to the public and no reservations are necessary, For more information about the Distinguished Lecturer Series, Contact Haylie Kim at +82-2-880-9108.
Speaker | Data & Time | Title | Location |
Randolph Blake | 10/5 M 4-6pm | Living in the 21st Century With a Stone Age Brain | Rm320, CTL |
Moo K. Chung | 10/14 W 4-6pm | Computational Challenges in Brain Imaging | Mok-am Hall, Bldg 501 |
Graham Collingridge | 10/28 W 4-6pm | Molecules of the Mind | Rm320, CTL |
Inah Lee | 11/4 W 4-6pm | Unlimited events in a limited space - The hippocampal dilemma | Rm320, CTL |
Seong-Gi Kim | 11/11 W 4:30-6pm | Imaging the Brain in the Magnetic Field, a Trailblazer in the World of Mind | Mok-am Hall, Bldg 501 |
Min Zhuo | 11/25 W 4-6pm | Where is my pain? | Rm320, CTL |
Randolph Blake
Brain and Cognitive Sciences, SNU
Vanderbilt University
The human brain hasn't changed much during the last 5,000 years, yet today we're using our brains in remarkably complex ways never imagined by our remote ancestors. Are there telltale mental signs of our brain's "prehistoric" roots? By demonstrating some of the mind's accomplishments and some of its limitations, I will argue that the answer is "yes." Particular examples will be drawn from visual perception, reasoning, learning and remembering.
Moo K. Chung
Brain and Cognitive Sciences, SNU
University of Wisconsin-Madison
Computational neuroanatomy is an emerging .eld that utilizes various non-invasive brain imaging modalities such as magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) in quantifying the spatiotemporal dynamics of the human brain structures in both normal and clinical populations in macroscopic level. This discipline emerged about twenty years ago and has made substantial progress in the past decade. It usually deals with computational problems arising from the quanti.cation of within- and between-subject variations associated with the structure and the function of the human brain. Major challenges in the .eld are caused by the massive amount of nonstandard high dimensional non-Euclidean imaging data that are difficult to analyze using traditional methods. This requires new computational solutions that incorporates geometric and topological nature of brain structures. Overview of various computational issues in neuroanatomy will be presented with example studies on autism.
Graham Collingridge
Brain and Cognitive Sciences, SNU
University of Bristol
Inah Lee
Brain and Cognitive Sciences, SNU
Seoung-Gi Kim
Brain and Cognitive Sciences, SNU
University of Pittsburgh
Min Zhuo
Brain and Cognitive Sciences, SNU