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    <tr><td colspan=2><span style="text-transform:uppercase;color:#000000;font-size:18px;font-family:arial;font-weight:bold;color:#D9322B">molecule and cognition unit</span></td></tr>
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    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">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.</</td></tr>
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    <tr><td><span style="text-transform:uppercase;color:#000000;font-size:18px;font-family:arial;font-weight:bold;color:#D9322B">System and behavior unit</span></td></tr>
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    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">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.</td></tr>
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    <tr><td><span style="text-transform:uppercase;color:#000000;font-size:18px;font-family:arial;font-weight:bold;color:#D9322B">clinical and computational unit</span></td></tr>
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    <tr><td height=20>&nbsp;</td></tr>
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    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">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.<BR />
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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>
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Revision as of 17:02, 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.
 
 
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.
 
 
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.

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