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     <tr><td height=20 colspan=3>&nbsp;</td></tr>
     <tr><td height=20 colspan=3>&nbsp;</td></tr>
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     <tr><td colspan=3><span style="color:#000000;font-size:19px;font-family:Times New Roman;font-weight:bold">Randolph Blake, <font size="3px">Dept. of Psychology, Vanderbilt University</font>&nbsp;&nbsp;<a href="http://http://www.psy.vanderbilt.edu/faculty/blake/blake.html" target="_blank"><font style="font-family:arial;font-size:10px;color:#D9322B">HOMEPAGE</font></a></span></td></tr>
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     <tr><td colspan=3><span style="color:#000000;font-size:19px;font-family:Times New Roman;font-weight:bold">Randolph Blake, <font size="3px">Dept. of Psychology, Vanderbilt University</font>&nbsp;&nbsp;<a href="http://www.psy.vanderbilt.edu/faculty/blake/blake.html" target="_blank"><font style="font-family:arial;font-size:10px;color:#D9322B">HOMEPAGE</font></a></span></td></tr>
     <tr><td height=20 colspan=3>&nbsp;</td></tr>
     <tr><td height=20 colspan=3>&nbsp;</td></tr>
     <tr><td width=121 valign=top><img src="/mediawiki/uploads/b/be/03_img07.jpg"></td>
     <tr><td width=121 valign=top><img src="/mediawiki/uploads/b/be/03_img07.jpg"></td>
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The 'Clinical Neuroscience' subunit, comprising Jun Soo Kwon and Sohee Park, will focus on studies of the pathophysiology of mental/brain disorders. including schizophrenia, depression, bipolar disorder and obsessive-compulsive disorder, they will deploy an integrative set of neurometric (large-scale brain imaging techniques on human brains) and psychometric (various forms of high cognitive tasks) measurement tools. The 'Computational Anatomy' subunit, led by the collaboration between Jae Sung Lee and Moo K. Chung, will integrate neurometric data obtained from functional (fMRI, PET) and structural (STI, MRI) images - major large-scale neurometric data from humans in modern cognitive neuroscience - into a single, coherent processing and analysis framework. The successful development of such tools will substantially help the other units to advance understanding of cortical and subcortical circuitries crucial for the target cognitive functions.</td></tr>
The 'Clinical Neuroscience' subunit, comprising Jun Soo Kwon and Sohee Park, will focus on studies of the pathophysiology of mental/brain disorders. including schizophrenia, depression, bipolar disorder and obsessive-compulsive disorder, they will deploy an integrative set of neurometric (large-scale brain imaging techniques on human brains) and psychometric (various forms of high cognitive tasks) measurement tools. The 'Computational Anatomy' subunit, led by the collaboration between Jae Sung Lee and Moo K. Chung, will integrate neurometric data obtained from functional (fMRI, PET) and structural (STI, MRI) images - major large-scale neurometric data from humans in modern cognitive neuroscience - into a single, coherent processing and analysis framework. The successful development of such tools will substantially help the other units to advance understanding of cortical and subcortical circuitries crucial for the target cognitive functions.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
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    <tr><td height=50>
 +
 +
 +
   
 +
    <table cellpadding=0 cellspacing=0 border=0>
 +
    <tr><td colspan=3><span style="color:#000000;font-size:19px;font-family:Times New Roman;font-weight:bold">Jun Soo Kwon, <font size="3px">MD, PhD, Dept. of Psychiatry, SNU</font>&nbsp;&nbsp;<a href="http://neuroimage.net/" target="_blank"><font style="font-family:arial;font-size:10px;color:#D9322B">HOMEPAGE</font></a></span></td></tr>
 +
    <tr><td height=20 colspan=3>&nbsp;</td></tr>
 +
    <tr><td width=121 valign=top><img src="/mediawiki/uploads/2/29/03_img09.jpg"></td>
 +
        <td width=20></td>
 +
        <td span style="font-family:arial;font-size:12px;color:#414141;"><img src="/mediawiki/uploads/3/3c/Img_slash.gif">An expert in pathophysiology in the neuropsychiatric disorders such as schizophrenia and obsessive-compulsive disorder.<br />
 +
 +
<img src="/mediawiki/uploads/0/0d/Img_slash2.gif">Extensive publications in journals such as Arch Gen Psychiatry and Brain etc. marking over 80 score of the total impact factor during the last three years.<br />
 +
 +
<img src="/mediawiki/uploads/0/0d/Img_slash2.gif">Elected to be councilor in collegium Internationale Neuro-Psychopharmacologicum (CINP) first in Korea.<br />
 +
 +
<img src="/mediawiki/uploads/0/0d/Img_slash2.gif">Unit leader.</td></tr>
 +
 +
    <tr><td height=20 colspan=3>&nbsp;</td></tr>
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 +
    <tr><td colspan=3><span style="color:#000000;font-size:19px;font-family:Times New Roman;font-weight:bold">Jae Sung Lee, <font size="3px">PhD, Dept. of Nuclear Med. and Biomedical Sci., SNU</font>&nbsp;&nbsp;<a href="http://bcs.snu.ac.kr/mediawiki/uploads/6/66/JaeSungLee200904_CV.pdf" target="_blank"><font style="font-family:arial;font-size:10px;color:#D9322B">HOMEPAGE</font></a></span></td></tr>
 +
    <tr><td height=20 colspan=3>&nbsp;</td></tr>
 +
    <tr><td width=121 valign=top><img src="/mediawiki/uploads/0/0c/03_img10.jpg"></td>
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        <td width=20></td>
 +
        <td span style="font-family:arial;font-size:12px;color:#414141;"><img src="/mediawiki/uploads/3/3c/Img_slash.gif">Research aim is to develop innovative tools to analyze biomedical image data.<br />
 +
 +
<img src="/mediawiki/uploads/0/0d/Img_slash2.gif">Developed novel gamma-ray detectors which allow PET images with very high resolution and sensitivity (IEEE TNS, 2008).<br />
 +
 +
<img src="/mediawiki/uploads/0/0d/Img_slash2.gif">Developing an experimental system for truly simultaneous PET/MR imaging.<br />
 +
 +
<img src="/mediawiki/uploads/0/0d/Img_slash2.gif">Recipients of Young Investigator's Award, Korean Society of Medical and Biological Eng./Nucl. Med./Human Brain Mapp.(2004)</td></tr>
 +
 +
 +
    <tr><td height=20 colspan=3>&nbsp;</td></tr>
 +
 +
   
 +
 +
    <tr><td colspan=3><span style="color:#000000;font-size:19px;font-family:Times New Roman;font-weight:bold">Moo K. Chung, <font size="3px">Dept. of Biostatistics & Medical Informatics, U of Wisconsin-Madison</font>&nbsp;&nbsp;<a href="http://stats.wisc.ac.kr/~mchung" target="_blank"><font style="font-family:arial;font-size:10px;color:#D9322B">HOMEPAGE</font></a></span></td></tr>
 +
    <tr><td height=20 colspan=3>&nbsp;</td></tr>
 +
    <tr><td width=121 valign=top><img src="/mediawiki/uploads/4/43/03_img11.jpg"></td>
 +
        <td width=20></td>
 +
        <td span style="font-family:arial;font-size:12px;color:#414141;"><img src="/mediawiki/uploads/3/3c/Img_slash.gif">The algorithm and code presented in his 2005 NeuroImage paper is the most widely used cortical data smoothing technique at this moment.<br />
 +
 +
<img src="/mediawiki/uploads/0/0d/Img_slash2.gif">Chung's cortical surface data filtering technique has been the standard to be compared and to be validated against in the field.<br />
 +
 +
 +
<img src="/mediawiki/uploads/0/0d/Img_slash2.gif">His 2001 NeuroImage paper on tensor-based morphometry was the first paper that shows the Jacobian determinant is the only meaningful metric in structural imaging.</td></tr>
 +
 +
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
    </table>
 +
 +
    </td></tr>
     </table>
     </table>

Revision as of 19:10, 28 December 2011

 
molecule and cognition unit
 
The long-term goal of this unit is to elucidate the molecular and synaptic bases of learning and memory and to establish how alterations in synaptic plasticity contribute to neurological and psychiatric disorders. This unit will study how genetic/molecular/synaptic/neuronal/localcircuit-level brain mechanisms enable cognitive faculties such as maze learning tasks and sensation by integrating neurometric techniques at different depths with psychometric techniques such as maze learning tasks and behavioral genetics. Bong-Kiun Kaang will lead this unit joined by Graham Collingridge, Min Zhuo and Sang Jeong Kim, and Inah Lee.
 
Bong-Kiun Kaang, Dept. of Biological Sciences, SNU  HOMEPAGE
 
One of the key leading neurobiologists in Korea with expertise on the molecular mechanism of synaptic plasticity and memory from multiple model systems such as Aplysia and mouse.
His recent work on the molecular, cellular mechanism of synaptic plasticity and fear memory is providing a new view, unveiling novel, original molecular mechanisms of memory.
High impact publications in Cell, Science, Neuron, PNAS.
Papers on the functional implication of cAMP-PKA-CREB signaling pathway in Aplysia neurons, in collaboration with Dr.Eric Kandel (year 2000 Nobel Laureate, also his lifelong collaborator), had a great impact on molecular neurobiology field (Neuron, 1993; Science, 1993).
Director of National Creative Research Initiative Center for memory; Editor-in-chief of on-line neuroscience journal, Molecular Brain.
 
Graham Leon Collingridge FRS, MRC Centre for Synaptic Plasticity, U of Bristol  HOMEPAGE
 
Investigating the synaptic basis of learning and memory with an emphasis on the role of glutamate receptors in hippocampal long-term potentiation (LTP) and long-term depression (LTD).
He established the principle that NMDA receptors trigger plasticity and AMPA receptors mediate a modifiable synaptic response, and this principle has now been extended to many other synapses in the brain and is regarded as one of the most influential discoveries in the field of synaptic function.
Discovered that NMDA receptor-mediated synaptic transmission is plastic; synaptic plasticity is expressed by changes in AMPA receptor function; both inhibitory and facilitatory autoreceptor mechanisms contribute to the acute and long-term regulation of synaptic transmission.
High impact publications including Collingridge et al(1983, J of Physiology, over 1,500 citations) and Bliss & Collingridge (1993, Nature, over 5,000 citations).
Numerous prestigious awards including Elected Fellow, THe Royal Society (2001); Elected President, British Neuroscience Association (2007). The Santiago Grisolia Prize (2008).
 
Min Zhuo, Dept. of Physiology, U of Toronto  HOMEPAGE
 
His lifelong works on the molecular mechanism of chronic pain and the role of ACC in chronic pain is highly creative and exceptional.
His original findings about the role of CNS on the generation of chronic pain sensation shed light on the field of chronic pain research.
Expert on brain pharmacology and molecular mechanism of chronic pain (consulting experience with Big Pharmas such as Pfizer).
Having high-profile publication records (4 Nature, 3 Nature Neuroscience, 5 Neuronn, 1 Science, and total SCI 157 papers within 20 years of research).
His research goal is to unravel the molecular mechanism of chronic pain and emotion-related brain disorders.
Founding editor and Editor-in-chief of online neuroscience journal Molecular Pain (Impact factor 4.13, top 20% among Neuroscience journals) and Molecular Brain.
 
Sang Jeong Kim, Dept. of Physiology, SNU College of Medicine  HOMEPAGE
 
Research focus on the cellular and molecular mechanisms of information storage and its related brain diseases by combining cutting-edge techniques such as patch clamping, Ca imaging, confocal mocroscopy, UVphotolysis and field/single unit recording from isolated neurons, brain slices and in-vivo animals.
High impact publications in major journals such as Nature, Neuron, and Journal of Neuroscience, etc, making over 300 score of the total impact factor during last five years.
Published a comprehensive review article in Neuron suggesting that ubiquitous synaptic plasticity is necessary to account for the rich phenomenon of memory storage in the neural network.
Editorial board of the Journal of Neurophysiology.
 
Inah Lee, PhD, Dept. of Brain and Cognitive Sciences, SNU  HOMEPAGE
 
His research aim is to elucidate biological mechanisms of episodic memory and rule learning using electrophysiology, behavioral neuroscience, neuropharmacology and computational modeling.
High impact publications in high-profile journals such as Nature, Nature Neuroscience and Neuron.
His work in Nature (2004) provided, for the first time, that neurons in hippocampus perform a computational function, pattern completion, that had only been suggested by theoreticians and computational modelers for more than 30 years without any experimental proof.
His publication record within a short period of time of 7 years is exceptional in the field of systems neuroscience involving animal experiments.
 
System and behavior unit
 
The long-term goal of this unit is to understand neuronal mechanisms involved in the encoding of sensory inputs, the representation and decoding of relevan information from population of active neurons, and the maintenance and retrieval of information within thos populations. This unit will study how neuronal/local circuit/global circuit-level brain mechanisms enable cognitive processes such as sensation, perception, memory, decision making and attention; the aim is to integrate neurometric techniques including single/multi-unit cell recordings, micro/macro-brain imaging and brain stimulation with psychometric techniques encompassing various forms of perceptual and memory tasks. Computational approaches will play a major role in bridging studies from individual researchers with expertise using different types of measurement. Sang-Hun Lee will lead this unit teamed up with Randolph Blake, Inah Lee and Marcus Kaiser.
 
Sang-Hun Lee, Dept. of Brain and Cognitive Science, SNU  HOMEPAGE
 
An expert in visual neuroscience with specialty in parallel uses of fMRI, psychophysics and neural models linking psychophysical and cortical measurements.
High impact publications in journals such as Science, Nature, Nature Neuroscience.
His recent work on traveling waves in human visual cortex (Nature, 2001; Nat. Neurosci, 2005; 2007) has created great impacts in the fields of both visual neuroscience and neural basis of consciousness.
His work on the role of temporal structure in spatial grouping (Science, 1999) is highly original and has sparked keen interest in that topic.
Recipient of ASSC William James Award (2006) in recognition of his contribution to scientific studies of consciousness.
Unit leader and representative PI of DBCS.
 
Randolph Blake, Dept. of Psychology, Vanderbilt University  HOMEPAGE
 
Studying important aspects of perception by blending psychophysics, neural modeling and brain imaging.
Acknowledged as world's expert on rivalry and perceptual bistability.
Devised clever, revealing "psychoanatomical" strategies for identifying neural sites of action within human vision.
Blake's work on the role of temporal structure in spatial grouping is highly original and has sparked keen interest in that topic.
His 1989 Psychological Review paper on rivalry, the most widely cited theoretical paper on that topic, stimulated an explosion of interest in the phenomena within cognitive neuroscience and neurophysiology.
High impact publications in Nature (13), Science (9),; H research impact factor is 36.
Coauthor of a widely used textbook on perception (Blake & Sekular, 2005, Perception, McGraw-Hill) now in it's fifth edition.
Numerous prestigious awards including Elected Fellow, Americal Academy of Arts and Science 2006; Earl Sutherland Award, 2000; APA, Early Career Award, 1977; Thomas Jefferson Award, 2008; IgNobel Prize, 2006.
 
Marcus Kaiser, PhD, Complex Neural Systems, Newcastle University  HOMEPAGE
 
His research interest is modeling network architecture and simulating neural activity as well as data analysis of experimentally observed brain connectivity and neural dynamics.
High impact publications in journals such as Neuron, PLoS CB, Trends in Cognitive Sciences and Physical Review within 4 years.
The first to show that local spatial and topological features of cortical and neuronal networks can be used to reconstruct the global network topology.
The first to publish that cortical networks can show sustained activity that neither dies out nor spreads through the whole network even in the absence of inhibitory nodes.
 
clinical and computational unit
 
The long-term goal of this unit is to understand psychiatric disorders, with and eye toward identifying means for correcting thos disorders or minimizing their consequences. Furthermore, work carried out in this unit will promote development of computational and mathematical tools for handling neuroimaging data analyses which, in turn, will contribute to integrative evaluation of functional, structural and biochemical aspects of brain, both disordered and healthy. This unit, led by Jun Soo Kwon, consists of two subunits.
The 'Clinical Neuroscience' subunit, comprising Jun Soo Kwon and Sohee Park, will focus on studies of the pathophysiology of mental/brain disorders. including schizophrenia, depression, bipolar disorder and obsessive-compulsive disorder, they will deploy an integrative set of neurometric (large-scale brain imaging techniques on human brains) and psychometric (various forms of high cognitive tasks) measurement tools. The 'Computational Anatomy' subunit, led by the collaboration between Jae Sung Lee and Moo K. Chung, will integrate neurometric data obtained from functional (fMRI, PET) and structural (STI, MRI) images - major large-scale neurometric data from humans in modern cognitive neuroscience - into a single, coherent processing and analysis framework. The successful development of such tools will substantially help the other units to advance understanding of cortical and subcortical circuitries crucial for the target cognitive functions.
 
Jun Soo Kwon, MD, PhD, Dept. of Psychiatry, SNU  HOMEPAGE
 
An expert in pathophysiology in the neuropsychiatric disorders such as schizophrenia and obsessive-compulsive disorder.
Extensive publications in journals such as Arch Gen Psychiatry and Brain etc. marking over 80 score of the total impact factor during the last three years.
Elected to be councilor in collegium Internationale Neuro-Psychopharmacologicum (CINP) first in Korea.
Unit leader.
 
Jae Sung Lee, PhD, Dept. of Nuclear Med. and Biomedical Sci., SNU  HOMEPAGE
 
Research aim is to develop innovative tools to analyze biomedical image data.
Developed novel gamma-ray detectors which allow PET images with very high resolution and sensitivity (IEEE TNS, 2008).
Developing an experimental system for truly simultaneous PET/MR imaging.
Recipients of Young Investigator's Award, Korean Society of Medical and Biological Eng./Nucl. Med./Human Brain Mapp.(2004)
 
Moo K. Chung, Dept. of Biostatistics & Medical Informatics, U of Wisconsin-Madison  HOMEPAGE
 
The algorithm and code presented in his 2005 NeuroImage paper is the most widely used cortical data smoothing technique at this moment.
Chung's cortical surface data filtering technique has been the standard to be compared and to be validated against in the field.
His 2001 NeuroImage paper on tensor-based morphometry was the first paper that shows the Jacobian determinant is the only meaningful metric in structural imaging.
 

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