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<tr><td width="131"></td>
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    <table width="100%" cellspacing=0 cellpadding=0 border="0" style="font-family:arial;color:#000000">
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    <tr><td><img src="/mediawiki/uploads/a/ab/05_title.jpg"></td><td width="60">&nbsp;</td></tr>
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    <tr><td height=30>&nbsp;</td></tr>
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    <tr><td align="center"><img src="/mediawiki/uploads/b/bc/04_img01.jpg" alt=""></td></tr>
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    <tr><td height=30>&nbsp;</td>
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    <tr><td>Academic & Research Advisory Committee (ARAC) : <span style="font-size:13px;color:#414141">Consisting of 1 intra-unit, 1-inter unit, and 1 advisor</td></tr>
 +
    <tr><td height=5></td></tr>
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    <tr><td>English as an Official Language : <span style="font-size:13px;color:#414141">For better communications for academic as well as social purposes.</td></tr>
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    <tr><td height=30>&nbsp;</td>
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    <tr><td>
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<table width="100%" border="1" cellpadding="3" cellspacing="0" style="font-family:arial; color:#414141; font-size:12px;border:1 solid #999999">
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  <tr>
 +
    <th bgcolor="#E3E3E3" scope="col">TRACK</th>
 +
    <th bgcolor="#E3E3E3" scope="col">COURSE <font size="-2">#</font></th>
 +
    <th bgcolor="#E3E3E3" scope="col">CRN</th>
 +
    <th bgcolor="#E3E3E3" scope="col">COURSE TITLE</th>
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    <th bgcolor="#E3E3E3" scope="col">LECTURER</th>
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    <th bgcolor="#E3E3E3" scope="col">SEMESTER<br>
 +
    <font size="-2">(PERIOD)</font></th>
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  </tr>
 +
  <tr>
 +
    <td style="color:#000000;font-weight:bold">CORE</td>
 +
    <td>CC-01</td>
 +
    <td>339.501</td>
 +
    <td>Principles of Brain and Cognitive Sciences</td>
 +
    <td>Team Teaching</td>
 +
    <td><div align="center">1(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>CC-02</td>
 +
    <td>339.502</td>
 +
    <td>Methods of Brain and Cognitive Sciences</td>
 +
    <td>Team Teaching</td>
 +
    <td><div align="center">2(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>MC</td>
 +
    <td>M-01</td>
 +
    <td>339.611</td>
 +
    <td>Molecular and Cellular Neurobiology</td>
 +
    <td>Collingridge, GL</td>
 +
    <td><div align="center">1(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>M-02</td>
 +
    <td>339.612</td>
 +
    <td>Structure and Fuction of Synapses</td>
 +
    <td>Kaang, BK</td>
 +
    <td><div align="center">1(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>M-03</td>
 +
    <td>339.613</td>
 +
    <td>Molecular Basis of Mind and Behavior</td>
 +
    <td>Zhuo, M</td>
 +
    <td><div align="center">2(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>MS-01</td>
 +
    <td>339.711</td>
 +
    <td>Excitatory Synapse and Synaptic Plasticity</td>
 +
    <td>Collingridge, GL</td>
 +
    <td><div align="center">2(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>MS-02</td>
 +
    <td>339.712</td>
 +
    <td>Neural Plasticity in Cerebellum</td>
 +
    <td>Kim, SJ</td>
 +
    <td><div align="center">1(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>MSC-01</td>
 +
    <td>339.713</td>
 +
    <td>Ubiquitous Neural Plasticity and Information Storage</td>
 +
    <td>Kim, SJ</td>
 +
    <td><div align="center">2(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td style="color:#000000;font-weight:bold">SB</td>
 +
    <td>SC-01</td>
 +
    <td>339.621</td>
 +
    <td>Clinical Neuscience and Cognitive Neuropsychiatry</td>
 +
    <td>Park, Sohee</td>
 +
    <td><div align="center">1(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>SC-02</td>
 +
    <td>339.622</td>
 +
    <td>Neural Mechanisms of Episodic Memory</td>
 +
    <td>Lee, I</td>
 +
    <td><div align="center">2(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>SC-03</td>
 +
    <td>339.623</td>
 +
    <td>Computational Neuroscience and Neuroinformatics</td>
 +
    <td>Kaiser, M</td>
 +
    <td><div align="center">1(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>SM-01</td>
 +
    <td>339.624</td>
 +
    <td>Experimental Methods in Visual Neuroscience</td>
 +
    <td>Lee, SH</td>
 +
    <td><div align="center">2(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>SMC-01</td>
 +
    <td>339.721</td>
 +
    <td>Classics in Vision and Visual Cognition</td>
 +
    <td>Blake, R</td>
 +
    <td><div align="center">1(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>SMC-02</td>
 +
    <td>339.722</td>
 +
    <td>Place Signals in the Brain </td>
 +
    <td>Lee, I</td>
 +
    <td><div align="center">2(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>SMC-03</td>
 +
    <td>339.723</td>
 +
    <td>Seminars in Visual Neuroscience</td>
 +
    <td>Lee, SH</td>
 +
    <td><div align="center">2(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td style="color:#000000;font-weight:bold">CCN</td>
 +
    <td>CS-01</td>
 +
    <td>339.631</td>
 +
    <td>Neurobiology of Brain Disorders</td>
 +
    <td>Kwon, JS</td>
 +
    <td><div align="center">1(1y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>CS-02</td>
 +
    <td>339.632</td>
 +
    <td>Neruroimagae Processing</td>
 +
    <td>Chung, MK</td>
 +
    <td><div align="center">2(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>CS-03</td>
 +
    <td>339.633</td>
 +
    <td>Computational Methods in Neuroimage Analysis</td>
 +
    <td>Chung, MK</td>
 +
    <td><div align="center">2(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>CSM-01</td>
 +
    <td>339.634</td>
 +
    <td>Statistical methods in Neuroimage Analysis</td>
 +
    <td>Chung, MK</td>
 +
    <td><div align="center">2(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>CSM-02</td>
 +
    <td>339.731</td>
 +
    <td>Molecular Neuroimaging Princeciples and Applications</td>
 +
    <td>Lee, JS</td>
 +
    <td><div align="center">1(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td>&nbsp;</td>
 +
    <td>CSM-03</td>
 +
    <td>339.732</td>
 +
    <td>Principles of Tomographic Neuroimages</td>
 +
    <td>Lee, JS</td>
 +
    <td><div align="center">1(2y)</div></td>
 +
  </tr>
 +
  <tr>
 +
    <td style="color:#000000;font-weight:bold">D</td>
 +
    <td>&nbsp;</td>
 +
    <td>339.803</td>
 +
    <td>Reading and Research</td>
 +
    <td>Each Faculty</td>
 +
    <td><div align="center">each semester</div></td>
 +
  </tr>
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</table>
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 +
 +
 +
 +
 +
 +
 +
 +
 +
    </td></tr>
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    <tr><td height=50>&nbsp;</td>
 +
    <tr><td>
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 +
        <table width="100%" cellspacing=0 cellpadding=0 border="0">
 +
        <tr><td colspan=2><span style="text-transform:uppercase;color:#000000;font-size:17px;font-family:arial;font-weight:bold">COURSE DESCRIPTION</span></td></tr>
 +
        <tr><td colspan=2 height="20">&nbsp;</td></tr>
 +
        <tr><td width="54" rowspan="92">&nbsp;</td>
 +
            <td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Principles of Brain and Cognitive Sciences(339.501)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">This is a graduate class, suitable for 1st-year graduate students in Department of Brain & Cognitive Sciences (BCS) or
 +
graduate/advanced undergraduate students in other programs related to BCS. Students will be introduced to basic research
 +
principles of BCS by learning fundamental theories and major research topics in modern-day brain and cognitive neurosciences.
 +
Every and each student in the Department of BCS is required to take both this course and < Methods in Brain and Cognitive
 +
Sciences >, which is provided in conjunction with this course.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Methods in Brain and Cognitive Sciences(339.502)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Students will be introduced to basic research methods of BCS by learning experimental designs, measurements and analysis of
 +
neural activity used in modern-day brain and cognitive neurosciences. Every and each student in the department of BCS is required
 +
to take both this course and <Principles in Brain and Cognitive Sciences%gt;, which is provided in conjunction with this course.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Molecular and Cellular Neurobiology(339.611)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Research of brain, which once had been considered not to be related to meterials at all, has reached the level at which the complex
 +
molecular mechanisms of synaptic functions are elucidated. This course covers what kinds of molecule are involved in information
 +
delivery through the synapses, affecting synaptic transmission and plasticity based on scientific findings for past few decades.
 +
In addition, this course also includes detailed molecular mechanisms underlying synaptic plasticity in gigantic neuronal system
 +
of Aplysia.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Structure and Function of Synapses(339.612)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Synapse is the very connection between neurons enabling our brain to function. There are largely two types of synapse, one is
 +
chemical synapse and the other is electrical synapse. Chemical synapse uses chemicals called neurotransmitter as a means of
 +
information delivery and in electrical synapse, electrical signal itself is transmitted through the special channel called gap junction
 +
by which information between neurons is delivered. Electrical synapse and chemical synapse have many differences in their
 +
structure and function. Moreover, a variety of receptors and their ligands are reported to exist in chemical synapses.
 +
This course will help you to build up essential knowledges about the structure and function of synapses in general.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
   
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Molecular Basis of Mind and Behavior(339.613)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel
 +
discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers.
 +
If possible, some of key authors of the papers will be invited to the class, and discuss the work.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
   
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Excitatory Synapse and Synaptic Plasticity(339.711)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Part 1 (4 weeks) Foundation of Neuroscience: History of Neuroscience, Neuroanatomy, Gene expression in the brain, Molecular
 +
Pharamcology & Neuronal signalling. Part 2 (4 weeks): Long-term synaptic plasticity (LTP & LTD) Excitatory synapses, NMDA
 +
receptor and Signals, AMPA receptor and Synaptic Plasticity, Metabotropic glutamate receptors and Synaptic Plasticity,
 +
Muscarinic glutamate receptors and Synaptic Plasticity. Part 3 (3 weeks): New insight into molecular and cellular model of learning
 +
and memory. The role of Receptor Trafficking in Synaptic Plasticity, Postsynaptic Protein and Long-term Synaptic Plasticity,
 +
Future Direction of Neuroscience: Drug development for Alzheimer's disease. Part 4 (5 weeks): Library Project Student will be
 +
informed their library project title (one of 10 titles). Student will search references and write 3000 words essay (written in English).</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Neural plasticity in cerebellum(339.712)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Neural plasticity is a phenomenon that the efficacy of synaptic connection is changing in response to neuronal activity. Cerebellum
 +
correct motor errors based on neural plasticity through experience. This cerebellar based learning process enables us to
 +
coordinated complex motor behavior and eventually we can remember the learned motor behavior. Therefore, cerebellum is
 +
leading model system to study learning and memory. This lecture covers material to discuss engram from molecule to learning
 +
and memory behavior.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
   
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Ubiquitous Neural Plasticity and Information(339.713)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel
 +
discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers.
 +
If possible, some of key authors of the papers will be invited to the class, and discuss the work.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Sensory Processes and Perception(339.621)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">This course will introduce students to contemporary theory and research in perception, including an analysis of philosophical and
 +
biological issues. They learn how biological organisms acquire, process and utilize information about objects and events in the
 +
environment. A recurring theme in the course would be the relation between brain events and perceptual events, with solid
 +
grounding in sensory neurophysiology. All the senses - vision, audition, taste, smell and touch - would be covered. Besides its
 +
grounding in neurobiology, perception can also stimulate discussion of philosophical issues, including epistemology (the branch
 +
of philosophy concerned with the origins of knowledge) and the mind/body problem. In addition, the course can establish links
 +
between principles of perception and developments within the visual arts, music and literature. Lectures would be supplemented
 +
with demonstrations and exercises.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Neural Mechanisms of Episodic Memory(339.622)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">This course will introduce students to contemporary theory and research in perception, including an analysis of philosophical and
 +
biological issues. They learn how biological organisms acquire, process and utilize information about objects and events in the
 +
environment. Perception is an area of psychology where the links to neuroscience are among the strongest. Thus, a recurring
 +
theme in the course would be the relation between brain events and perceptual events, with solid grounding in sensory
 +
neurophysiology. All the senses - vision, audition, taste, smell and touch - would be covered. Besides its grounding in neurobiology,
 +
perception can also stimulate discussion of philosophical issues, including epistemology (the branch of philosophy concerned
 +
with the origins of knowledge) and the mind/body problem. In addition, the course can establish links between principles of
 +
perception and developments within the visual arts, music and literature. Lectures would be supplemented with demonstrations
 +
and exercises.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Ubiquitous Neural Plasticity and Information(339.713)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel
 +
discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers.
 +
If possible, some of key authors of the papers will be invited to the class, and discuss the work.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Computational Neuroscience and Neuroinformatics(339.623)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">The course will introduce concepts of computational neuroscience in simulating and analyzing neural network activity. It will also
 +
address the relation between network structure and function at different scales of the nervous system through mathematical
 +
analyses and computational modeling. Lectures will review neurobiological concepts and Neuroinformatics tools for accessing
 +
neuroscience data as well as mathematical approaches for representing neural systems. Complementary practical sessions
 +
will provide an opportunity to become familiar with widely used neural modeling packages (e.g. Neuron and Matlab) and to
 +
carry out individual course projects.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Experimental Methods in Visual Neuroscience(339.624)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Episodic memory enables us to remember past events vividly. The role of the hippocampus and associated areas in the brain in
 +
remembering episodic events has been studied for almost 50 years in various forms. The objective of this course is to provide
 +
students an opportunity to learn how a network of brain areas works together to realize episodic memory. The course will introduce
 +
the literature on amnesic patients and animal studies related to the topic. In tandem with critical reading of the literature, anatomical
 +
regions involved in episodic memory will be introduced. The course targets doctoral students who finished their basic course
 +
requirements such as the Introduction to Brain and Behavior.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Classics in Vision and Visual Cognition(339.721)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">This is a 13-week introductory course in Cognitive Neuroscience suitable for graduate or advanced undergraduate students who
 +
want to learn about recent advances in cognitive neuroscience. The major emphasis of this class is on the relationship among
 +
psychological circumstances, cognitive computations, and neuronal/cortical activity while humans or animals perform various
 +
cognitive tasks, including sensation, perception, memory, learning, decision making, social interaction and affective responses.
 +
The course will also cover recent advances in neuroimaging of human/animal brains with various techniques including functional
 +
MRI, diffusion MRI, Optical imaging, EEG, MEG.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Place Signals in the Brain(339.722)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">This course would survey classic papers in different areas of visual science, the aim being to evaluate how those areas have
 +
evolved since publication of those papers. The following areas of visual science could be covered: visual neurophysiology, brain
 +
imaging, color vision, binocular vision, spatial vision, motion perception, attention, visual memory and visual cognition. Throughout
 +
the course, individual participants would be responsible for researching a particular area, identifying exemplary contemporary
 +
papers and leading a classroom discussion the current status of the area. This course would provide an important foundation
 +
for students engaged in work in cognitive neuroscience, and the course could be modified to include topics other than vision if
 +
the faculty deemed that important. The course would assume a seminar format.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Seminars in Visual Neuroscience(339.723)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">This course will target doctoral students interested in learning electrophysiological techniques for recording single units in freely
 +
moving animals. Differential recording techniques and other basic physiological contents (e.g., local field potentials, evoked
 +
potentials, etc.) will be covered possibly with a laboratory component. The course will require approximately 2-3 hours of lecture
 +
and possibly 1 hour of hands-on experiment in the lab.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Neurobiology of Brain Disorders(339.631)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">This course on the surface is primarily about psychosis, but a careful examination of psychosis will enable us to delve deeply into
 +
some of the fundamental questions about how the brain functions and malfunctions as well as addressing core questions about
 +
human nature. Schizophrenia and bipolar disorder are devastating conditions, which affect about 2+% of the population worldwide.
 +
We will focus mostly on biological and cognitive aspects of these psychotic disorders with a special emphasis on cognitive
 +
neuroscience. We will also examine biological roots of aggression, social cognition, sex differences,and psychiatric genetics.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Neuroimage Processing(339.632)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Basics on neuroimage processing will be covered. The target audience is the 1styear PhD and masters degree students and
 +
researchers although mathematically and computationally sophisticated senior undergraduate students should be able to follow the
 +
course. The focus of the course is not on how to use available neuroimaging packages such as SPM but on the basic understanding
 +
of mathematical and statistical principles on various image processing algorithms. However, students are required to do homework
 +
using existing neuroimaging software packages. MATLAB will be used as a language of instruction although students can do
 +
homework and project in any computer languages of their choice. The following topics will be covered: registration, segmentation,
 +
intensity normalization, image filtering and smoothing, shape and geometry modeling.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Computational Methods in Neuroimage Analysis(339.633)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Basics on various computational techniques will be covered. The target audience is the 1nd year PhD and master's degree students.
 +
No knowledge in image analysis is required although the course "Neuroimage Processing" will help students in manipulating images.
 +
Various computational and numerical issues in neuroimage processing and analysis will be addressed. The focus of the course is
 +
on the algorithmic aspect of various computation intensive procedures. MATLAB will be used as a language of instruction although
 +
students can do homework and project in any computer languages of their choice. The following topics will be covered: numerical
 +
techniques for ordinary and partial differential equations, finite element methods, spectral methods,optimization, least squares
 +
method, matrix algorithms, classification and clustering. Two lectures (90min each) per week plus one computer tutorial (60min)
 +
will be given each week. Few speakers within SNU or other universities will give guest lectures to provide biological/medical
 +
motivation for the course.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Statistical Methods in Neuroimage Analysis(339.634)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Basics on various statistical techniques will be covered. The target audience is the 1st year PhD and master's degree students.
 +
No knowledge in image analysis is required although the courses "Neuroimage Processing" and "Computational Methods in
 +
Neuroimage Analysis" will help understanding course materials. All the statistical techniques used in the current neuroimaging
 +
research will be covered. The focus of the course is on the learning modern statistical methodology. R and MATLAB will be used
 +
as a language of instruction. The following topics will be covered: general linear model, likelihood estimation methods, nonparametric
 +
test procedures, multiple comparisons, false discovery rates, random field theory, permutation tests, logistic regression, longitudinal
 +
growth model, mixed effect model, discriminant analysis, multivariate test procedures. Two lectures (90min each) per week plus one
 +
tutorial (60min) will be given each week. Few speakers within SNU or other universities will give guest lectures to provide
 +
biological/medical motivation for the course. The course evaluation will be based on homework (30%), final research project (50%),
 +
oral presentation and class participation (20%).</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Molecular Neuroimageing Principles and Applications(339.731)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Molecular imaging of the central nervous system is essential technology for better understanding the basic biology of brain function
 +
and the way in which various disease processes affect the brain. This course will survey the basic principles of molecular neuroimaing
 +
technologies, including radioisotope, optical, and magnetic resonance imaging. The current state and clinical applications of molecular
 +
neuroimaging will be also introduced.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Principles of Tomographic Neuroimages(339.732) </span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Tomographic neuroimaging technologies provide the anatomical, functional and biochemical information of brain and play important
 +
roles in the brain and cognitive sciences. This course surveys the fundamental physical, chemical and biological principles, hardware
 +
and software systems, image acquisition technologies, and current trends in the representative tomographic neuroimaging
 +
technologies including magnetic resonance imaging (MRI), X-ray CT, positron emission tomography (PET) and single photon
 +
emission tomography (SPECT). In addition, the basic principles and 3D mapping methods for EEG and MEG will be introduced.</td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
 +
 +
    <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Reading and Research(339.803)</span></td></tr>
 +
    <tr><td height=10></td></tr>
 +
    <tr><td span style="font-family:arial;font-size:12px;color:#414141;line-height:16px">Reading and Research.</td></tr>
 +
    <tr><td height=50>&nbsp;</td></tr>
 +
  </table>
 +
 +
 +
</td>
 +
</tr>
 +
    <tr><td><span style="text-transform:uppercase;color:#000000;font-size:17px;font-family:arial;font-weight:bold">Courses (Spring 10)</span></td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
    <tr><td>
 +
 +
 +
    <table width="100%" border="1" cellpadding="3" cellspacing="0" style="font-family:arial; color:#414141; font-size:12px;border:1 solid #999999">
 +
  <tr>
 +
    <th bgcolor="#E3E3E3" scope="col">CRN</th>
 +
    <th bgcolor="#E3E3E3" scope="col">CR</th>
 +
    <th bgcolor="#E3E3E3" scope="col">COURSE TITLE</th>
 +
    <th bgcolor="#E3E3E3" scope="col">INSTRUCTOR</th>
 +
    <th bgcolor="#E3E3E3" scope="col">DAY / TIME</th>
 +
    <th bgcolor="#E3E3E3" scope="col">LOCATION</th>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.502</strong></td>
 +
    <td>3</td>
 +
    <td>Methods in Brain and Cognitive Sciences</td>
 +
    <td>Team Teaching</td>
 +
    <td>M 9000-1200</td>
 +
    <td> L304, Bldg.500</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.613</strong></td>
 +
    <td>3</td>
 +
    <td>Molecular Basis of Mind and Behavior</td>
 +
    <td>Min Zhuo</td>
 +
    <td>T 9000-1200</td>
 +
    <td>L302, Bldg.500</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.623</strong></td>
 +
    <td>3</td>
 +
    <td>Computational Neuroscience and Neuroinformatics</td>
 +
    <td>Marcus Kaiser</td>
 +
    <td>M 1500-1900</td>
 +
    <td>Rm201,Bldg.102<br>
 +
    L304, Bldg.500</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.624</strong></td>
 +
    <td>3</td>
 +
    <td>Experimental Methods in Visual Neuroscience</td>
 +
    <td>Sang-Hun Lee</td>
 +
    <td>T 1300-1500</td>
 +
    <td>L303, Bldg.500</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.712</strong></td>
 +
    <td>3</td>
 +
    <td>Neural Plasticity in Cerebellum</td>
 +
    <td>Sang Jeong Kim</td>
 +
    <td> F 0900-1200</td>
 +
    <td>Medical Campus</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.721</strong></td>
 +
    <td>3</td>
 +
    <td>Classics in Vision and Visual Cognition</td>
 +
    <td>Randolph Blake</td>
 +
    <td>R 1300-1600</td>
 +
    <td>L303, Bldg.500</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.722</strong></td>
 +
    <td>3</td>
 +
    <td>Place Signals in the Brain</td>
 +
    <td>Inah Lee</td>
 +
    <td>R 0900-1200</td>
 +
    <td>L302, Bldg.500</td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.732</strong></td>
 +
    <td>3</td>
 +
    <td>Principles of Tomographic Neuroimages</td>
 +
    <td>Jae Sung Lee</td>
 +
    <td>F 1500-1800</td>
 +
    <td>Medical Campus</td>
 +
  </tr>
 +
</table>
 +
 +
   
 +
 +
 +
    </td></tr>
 +
    <tr><td height=40>&nbsp;</td></tr>
 +
    <tr><td><span style="text-transform:uppercase;color:#000000;font-size:17px;font-family:arial;font-weight:bold">Courses (Fall 09)</span></td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
    <tr><td>
 +
 +
   
 +
        <table width="100%" border="1" cellpadding="3" cellspacing="0" style="font-family:arial; color:#414141; font-size:12px;border:1 solid #999999">
 +
  <tr>
 +
    <th bgcolor="#E3E3E3" scope="col">CRN</th>
 +
    <th bgcolor="#E3E3E3" scope="col">CR</th>
 +
    <th bgcolor="#E3E3E3" scope="col">COURSE TITLE</th>
 +
    <th bgcolor="#E3E3E3" scope="col">INSTRUCTOR</th>
 +
    <th bgcolor="#E3E3E3" scope="col">DAY / TIME</th>
 +
    <th bgcolor="#E3E3E3" scope="col">LOCATION</th>
 +
    <th bgcolor="#E3E3E3" scope="col">SYLLABUS</th>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.501</strong></td>
 +
    <td>3</td>
 +
    <td>Principles of Brain and Cognitive Sciences</td>
 +
    <td>Team Teaching</td>
 +
    <td>M 9000-1200</td>
 +
    <td>Rm103, Bldg.20</td>
 +
    <td align="center" style="font-size:10px;text-transform:uppercase"><a href="http://bcs.useoul.edu/static/syllabi/2009F/339.501.pdf">download</a></td>
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.622</strong></td>
 +
    <td>3</td>
 +
    <td>Neural Mechanisms of Episodic Memory</td>
 +
    <td>Lee, I</td>
 +
    <td>T 9000-1200</td>
 +
    <td>Rm103, Bldg.20</td>
 +
  <td align="center" style="font-size:10px;text-transform:uppercase"><a href="http://bcs.useoul.edu/static/syllabi/2009F/339.622.pdf">download</a></td>
 +
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.613</strong></td>
 +
    <td>3</td>
 +
    <td>Molecular Basis of Mind and Behavior</td>
 +
    <td>Zhuo, M</td>
 +
    <td>W 9000-1200</td>
 +
    <td>Rm103, Bldg.20</td>
 +
  <td align="center" style="font-size:10px;text-transform:uppercase"><a href="http://bcs.useoul.edu/static/syllabi/2009F/339.613.pdf">download</a></td>
 +
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.711</strong></td>
 +
    <td>3</td>
 +
    <td>Escitatory Synapse and Synaptic Plasticity</td>
 +
    <td>Collingridge, GL</td>
 +
    <td>R 9000-1200</td>
 +
    <td>Rm103, Bldg.20</td>
 +
  <td align="center" style="font-size:10px;text-transform:uppercase"><a href="http://bcs.useoul.edu/static/syllabi/2009F/339.711.pdf">download</a></td>
 +
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.632</strong></td>
 +
    <td>3</td>
 +
    <td>Neuroimage Processing</td>
 +
    <td>Chung, MK</td>
 +
    <td>F 1300-1600</td>
 +
    <td>Rm116, Bldg.20</td>
 +
  <td align="center" style="font-size:10px;text-transform:uppercase"><a href="http://bcs.useoul.edu/static/syllabi/2009F/339.632.pdf">download</a></td>
 +
 +
  </tr>
 +
  <tr>
 +
    <td><strong>339.723</strong></td>
 +
    <td>3</td>
 +
    <td>Seminars in Visual Neuroscience</td>
 +
    <td>Lee, SH</td>
 +
    <td>W 1400-1700</td>
 +
    <td>Rm106, Bldg.56</td>
 +
  <td align="center" style="font-size:10px;text-transform:uppercase"><a href="http://bcs.useoul.edu/static/syllabi/2009F/339.723.pdf">download</a></td>
 +
 +
  </tr>
 +
</table>
 +
 +
 +
 +
    </td></tr>
 +
    <tr><td><UL STYLE="list-style-image: url(/mediawiki/uploads/img_ul.gif);font-family:arial;color:#999999;font-size:13px;line-height:15px">
 +
    <LI>If you are a first year master’s program student, you must register for the Core Course 01, Principles of Brain and Cognitive Sciences
 +
  and one 3 credit major track course. You can take up to 12 credits a semester.
 +
    <LI>If you are a first year Ph.D. program student, you also must register for the Core Course 01, Principles of Brain and Cognitive Sciences
 +
  and one 3 credit major track course. You can take up to 12 credits a semester.
 +
    <LI>Visit our <a href="http://bcs.snu.ac.kr/wiki/Education/OCW/2009Fall">2009 OCW site</a> for lectures.
 +
</UL></td></tr>
 +
    <tr><td height=40>&nbsp;</td></tr>
 +
    <tr><td><span style="text-transform:uppercase;color:#000000;font-size:17px;font-family:arial;font-weight:bold">Academic calender (Fall 09)</span></td></tr>
 +
    <tr><td height=5>&nbsp;</td></tr>
 +
    <tr><td> <ul style="font-size:14px;line-height:15px;color:#414141">
 +
<li>Priority registration : <b>n/a</b>
 +
<li>Open registration for new students: <b>Aug. 26 - Aug. 28 (9:00-16:00)</b>
 +
<li>Late registration : <b>Sep. 1 - Sep. 7 (Period to add/drop courses) </b>
 +
<li>Last time adds with departmental approval : <b>Sep. 8 (Students need to visit the office in this case)</b>
 +
<li>Semester begins : <b>Sep. 1 </b>
 +
<li>End of semester : <b>Dec. 14 </b></li></ul>
 +
    </td></tr>
 +
    <tr><td style="color:#999999;font-size:13px">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Note: Please visit the official SNU website for the registration. Click <a href="http://bcs.snu.ac.kr/mediawiki/uploads/c/c7/Registration_manual.hwp">here</a> to download the registration manual. </td></tr>
 +
    <tr><td height=20>&nbsp;</td></tr>
 +
    <tr><td><span style="text-transform:uppercase;color:#000000;font-size:17px;font-family:arial;font-weight:bold">academic calender (Spring 10)</span></td></tr>
 +
    <tr><td height=5>&nbsp;</td></tr>
 +
    <tr><td> <ul style="font-size:14px;line-height:15px;color:#414141">
 +
<li>Open registration : <b>Jan. 2 - Jan. 8</b></li></ul></td></tr>
 +
    </table>
 +
</td>
 +
</tr>
 +
</table>
 +
</html>
 +
 +
 +
 +
 +
 +
 +
<html>
<html>
<table cellspacing=0 cellpadding=0 width="900">
<table cellspacing=0 cellpadding=0 width="900">

Revision as of 23:42, 25 October 2011

 
 
 
Academic & Research Advisory Committee (ARAC) : Consisting of 1 intra-unit, 1-inter unit, and 1 advisor
English as an Official Language : For better communications for academic as well as social purposes.
 
TRACK COURSE # CRN COURSE TITLE LECTURER SEMESTER
(PERIOD)
CORE CC-01 339.501 Principles of Brain and Cognitive Sciences Team Teaching
1(1y)
  CC-02 339.502 Methods of Brain and Cognitive Sciences Team Teaching
2(1y)
MC M-01 339.611 Molecular and Cellular Neurobiology Collingridge, GL
1(2y)
  M-02 339.612 Structure and Fuction of Synapses Kaang, BK
1(2y)
  M-03 339.613 Molecular Basis of Mind and Behavior Zhuo, M
2(1y)
  MS-01 339.711 Excitatory Synapse and Synaptic Plasticity Collingridge, GL
2(1y)
  MS-02 339.712 Neural Plasticity in Cerebellum Kim, SJ
1(1y)
  MSC-01 339.713 Ubiquitous Neural Plasticity and Information Storage Kim, SJ
2(1y)
SB SC-01 339.621 Clinical Neuscience and Cognitive Neuropsychiatry Park, Sohee
1(1y)
  SC-02 339.622 Neural Mechanisms of Episodic Memory Lee, I
2(1y)
  SC-03 339.623 Computational Neuroscience and Neuroinformatics Kaiser, M
1(1y)
  SM-01 339.624 Experimental Methods in Visual Neuroscience Lee, SH
2(2y)
  SMC-01 339.721 Classics in Vision and Visual Cognition Blake, R
1(1y)
  SMC-02 339.722 Place Signals in the Brain Lee, I
2(2y)
  SMC-03 339.723 Seminars in Visual Neuroscience Lee, SH
2(2y)
CCN CS-01 339.631 Neurobiology of Brain Disorders Kwon, JS
1(1y)
  CS-02 339.632 Neruroimagae Processing Chung, MK
2(2y)
  CS-03 339.633 Computational Methods in Neuroimage Analysis Chung, MK
2(2y)
  CSM-01 339.634 Statistical methods in Neuroimage Analysis Chung, MK
2(2y)
  CSM-02 339.731 Molecular Neuroimaging Princeciples and Applications Lee, JS
1(2y)
  CSM-03 339.732 Principles of Tomographic Neuroimages Lee, JS
1(2y)
D   339.803 Reading and Research Each Faculty
each semester
 
COURSE DESCRIPTION
 
  Principles of Brain and Cognitive Sciences(339.501)
This is a graduate class, suitable for 1st-year graduate students in Department of Brain & Cognitive Sciences (BCS) or graduate/advanced undergraduate students in other programs related to BCS. Students will be introduced to basic research principles of BCS by learning fundamental theories and major research topics in modern-day brain and cognitive neurosciences. Every and each student in the Department of BCS is required to take both this course and < Methods in Brain and Cognitive Sciences >, which is provided in conjunction with this course.
 
Methods in Brain and Cognitive Sciences(339.502)
Students will be introduced to basic research methods of BCS by learning experimental designs, measurements and analysis of neural activity used in modern-day brain and cognitive neurosciences. Every and each student in the department of BCS is required to take both this course and
 
Molecular and Cellular Neurobiology(339.611)
Research of brain, which once had been considered not to be related to meterials at all, has reached the level at which the complex molecular mechanisms of synaptic functions are elucidated. This course covers what kinds of molecule are involved in information delivery through the synapses, affecting synaptic transmission and plasticity based on scientific findings for past few decades. In addition, this course also includes detailed molecular mechanisms underlying synaptic plasticity in gigantic neuronal system of Aplysia.
 
Structure and Function of Synapses(339.612)
Synapse is the very connection between neurons enabling our brain to function. There are largely two types of synapse, one is chemical synapse and the other is electrical synapse. Chemical synapse uses chemicals called neurotransmitter as a means of information delivery and in electrical synapse, electrical signal itself is transmitted through the special channel called gap junction by which information between neurons is delivered. Electrical synapse and chemical synapse have many differences in their structure and function. Moreover, a variety of receptors and their ligands are reported to exist in chemical synapses. This course will help you to build up essential knowledges about the structure and function of synapses in general.
 
Molecular Basis of Mind and Behavior(339.613)
This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers. If possible, some of key authors of the papers will be invited to the class, and discuss the work.
 
Excitatory Synapse and Synaptic Plasticity(339.711)
Part 1 (4 weeks) Foundation of Neuroscience: History of Neuroscience, Neuroanatomy, Gene expression in the brain, Molecular Pharamcology & Neuronal signalling. Part 2 (4 weeks): Long-term synaptic plasticity (LTP & LTD) Excitatory synapses, NMDA receptor and Signals, AMPA receptor and Synaptic Plasticity, Metabotropic glutamate receptors and Synaptic Plasticity, Muscarinic glutamate receptors and Synaptic Plasticity. Part 3 (3 weeks): New insight into molecular and cellular model of learning and memory. The role of Receptor Trafficking in Synaptic Plasticity, Postsynaptic Protein and Long-term Synaptic Plasticity, Future Direction of Neuroscience: Drug development for Alzheimer's disease. Part 4 (5 weeks): Library Project Student will be informed their library project title (one of 10 titles). Student will search references and write 3000 words essay (written in English).
 
Neural plasticity in cerebellum(339.712)
Neural plasticity is a phenomenon that the efficacy of synaptic connection is changing in response to neuronal activity. Cerebellum correct motor errors based on neural plasticity through experience. This cerebellar based learning process enables us to coordinated complex motor behavior and eventually we can remember the learned motor behavior. Therefore, cerebellum is leading model system to study learning and memory. This lecture covers material to discuss engram from molecule to learning and memory behavior.
 
Ubiquitous Neural Plasticity and Information(339.713)
This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers. If possible, some of key authors of the papers will be invited to the class, and discuss the work.
 
Sensory Processes and Perception(339.621)
This course will introduce students to contemporary theory and research in perception, including an analysis of philosophical and biological issues. They learn how biological organisms acquire, process and utilize information about objects and events in the environment. A recurring theme in the course would be the relation between brain events and perceptual events, with solid grounding in sensory neurophysiology. All the senses - vision, audition, taste, smell and touch - would be covered. Besides its grounding in neurobiology, perception can also stimulate discussion of philosophical issues, including epistemology (the branch of philosophy concerned with the origins of knowledge) and the mind/body problem. In addition, the course can establish links between principles of perception and developments within the visual arts, music and literature. Lectures would be supplemented with demonstrations and exercises.
 
Neural Mechanisms of Episodic Memory(339.622)
This course will introduce students to contemporary theory and research in perception, including an analysis of philosophical and biological issues. They learn how biological organisms acquire, process and utilize information about objects and events in the environment. Perception is an area of psychology where the links to neuroscience are among the strongest. Thus, a recurring theme in the course would be the relation between brain events and perceptual events, with solid grounding in sensory neurophysiology. All the senses - vision, audition, taste, smell and touch - would be covered. Besides its grounding in neurobiology, perception can also stimulate discussion of philosophical issues, including epistemology (the branch of philosophy concerned with the origins of knowledge) and the mind/body problem. In addition, the course can establish links between principles of perception and developments within the visual arts, music and literature. Lectures would be supplemented with demonstrations and exercises.
 
Ubiquitous Neural Plasticity and Information(339.713)
This will cover the recent progress in genetic and behavioral studies of high brain functions; we will discuss high-profile and novel discovery in recent years; students will learn how to present, literature review, appreciate and criticize the high-impact papers. If possible, some of key authors of the papers will be invited to the class, and discuss the work.
 
Computational Neuroscience and Neuroinformatics(339.623)
The course will introduce concepts of computational neuroscience in simulating and analyzing neural network activity. It will also address the relation between network structure and function at different scales of the nervous system through mathematical analyses and computational modeling. Lectures will review neurobiological concepts and Neuroinformatics tools for accessing neuroscience data as well as mathematical approaches for representing neural systems. Complementary practical sessions will provide an opportunity to become familiar with widely used neural modeling packages (e.g. Neuron and Matlab) and to carry out individual course projects.
 
Experimental Methods in Visual Neuroscience(339.624)
Episodic memory enables us to remember past events vividly. The role of the hippocampus and associated areas in the brain in remembering episodic events has been studied for almost 50 years in various forms. The objective of this course is to provide students an opportunity to learn how a network of brain areas works together to realize episodic memory. The course will introduce the literature on amnesic patients and animal studies related to the topic. In tandem with critical reading of the literature, anatomical regions involved in episodic memory will be introduced. The course targets doctoral students who finished their basic course requirements such as the Introduction to Brain and Behavior.
 
Classics in Vision and Visual Cognition(339.721)
This is a 13-week introductory course in Cognitive Neuroscience suitable for graduate or advanced undergraduate students who want to learn about recent advances in cognitive neuroscience. The major emphasis of this class is on the relationship among psychological circumstances, cognitive computations, and neuronal/cortical activity while humans or animals perform various cognitive tasks, including sensation, perception, memory, learning, decision making, social interaction and affective responses. The course will also cover recent advances in neuroimaging of human/animal brains with various techniques including functional MRI, diffusion MRI, Optical imaging, EEG, MEG.
 
Place Signals in the Brain(339.722)
This course would survey classic papers in different areas of visual science, the aim being to evaluate how those areas have evolved since publication of those papers. The following areas of visual science could be covered: visual neurophysiology, brain imaging, color vision, binocular vision, spatial vision, motion perception, attention, visual memory and visual cognition. Throughout the course, individual participants would be responsible for researching a particular area, identifying exemplary contemporary papers and leading a classroom discussion the current status of the area. This course would provide an important foundation for students engaged in work in cognitive neuroscience, and the course could be modified to include topics other than vision if the faculty deemed that important. The course would assume a seminar format.
 
Seminars in Visual Neuroscience(339.723)
This course will target doctoral students interested in learning electrophysiological techniques for recording single units in freely moving animals. Differential recording techniques and other basic physiological contents (e.g., local field potentials, evoked potentials, etc.) will be covered possibly with a laboratory component. The course will require approximately 2-3 hours of lecture and possibly 1 hour of hands-on experiment in the lab.
 
Neurobiology of Brain Disorders(339.631)
This course on the surface is primarily about psychosis, but a careful examination of psychosis will enable us to delve deeply into some of the fundamental questions about how the brain functions and malfunctions as well as addressing core questions about human nature. Schizophrenia and bipolar disorder are devastating conditions, which affect about 2+% of the population worldwide. We will focus mostly on biological and cognitive aspects of these psychotic disorders with a special emphasis on cognitive neuroscience. We will also examine biological roots of aggression, social cognition, sex differences,and psychiatric genetics.
 
Neuroimage Processing(339.632)
Basics on neuroimage processing will be covered. The target audience is the 1styear PhD and masters degree students and researchers although mathematically and computationally sophisticated senior undergraduate students should be able to follow the course. The focus of the course is not on how to use available neuroimaging packages such as SPM but on the basic understanding of mathematical and statistical principles on various image processing algorithms. However, students are required to do homework using existing neuroimaging software packages. MATLAB will be used as a language of instruction although students can do homework and project in any computer languages of their choice. The following topics will be covered: registration, segmentation, intensity normalization, image filtering and smoothing, shape and geometry modeling.
 
Computational Methods in Neuroimage Analysis(339.633)
Basics on various computational techniques will be covered. The target audience is the 1nd year PhD and master's degree students. No knowledge in image analysis is required although the course "Neuroimage Processing" will help students in manipulating images. Various computational and numerical issues in neuroimage processing and analysis will be addressed. The focus of the course is on the algorithmic aspect of various computation intensive procedures. MATLAB will be used as a language of instruction although students can do homework and project in any computer languages of their choice. The following topics will be covered: numerical techniques for ordinary and partial differential equations, finite element methods, spectral methods,optimization, least squares method, matrix algorithms, classification and clustering. Two lectures (90min each) per week plus one computer tutorial (60min) will be given each week. Few speakers within SNU or other universities will give guest lectures to provide biological/medical motivation for the course.
 
Statistical Methods in Neuroimage Analysis(339.634)
Basics on various statistical techniques will be covered. The target audience is the 1st year PhD and master's degree students. No knowledge in image analysis is required although the courses "Neuroimage Processing" and "Computational Methods in Neuroimage Analysis" will help understanding course materials. All the statistical techniques used in the current neuroimaging research will be covered. The focus of the course is on the learning modern statistical methodology. R and MATLAB will be used as a language of instruction. The following topics will be covered: general linear model, likelihood estimation methods, nonparametric test procedures, multiple comparisons, false discovery rates, random field theory, permutation tests, logistic regression, longitudinal growth model, mixed effect model, discriminant analysis, multivariate test procedures. Two lectures (90min each) per week plus one tutorial (60min) will be given each week. Few speakers within SNU or other universities will give guest lectures to provide biological/medical motivation for the course. The course evaluation will be based on homework (30%), final research project (50%), oral presentation and class participation (20%).
 
Molecular Neuroimageing Principles and Applications(339.731)
Molecular imaging of the central nervous system is essential technology for better understanding the basic biology of brain function and the way in which various disease processes affect the brain. This course will survey the basic principles of molecular neuroimaing technologies, including radioisotope, optical, and magnetic resonance imaging. The current state and clinical applications of molecular neuroimaging will be also introduced.
 
Principles of Tomographic Neuroimages(339.732)
Tomographic neuroimaging technologies provide the anatomical, functional and biochemical information of brain and play important roles in the brain and cognitive sciences. This course surveys the fundamental physical, chemical and biological principles, hardware and software systems, image acquisition technologies, and current trends in the representative tomographic neuroimaging technologies including magnetic resonance imaging (MRI), X-ray CT, positron emission tomography (PET) and single photon emission tomography (SPECT). In addition, the basic principles and 3D mapping methods for EEG and MEG will be introduced.
 
Reading and Research(339.803)
Reading and Research.
 
Courses (Spring 10)
 
CRN CR COURSE TITLE INSTRUCTOR DAY / TIME LOCATION
339.502 3 Methods in Brain and Cognitive Sciences Team Teaching M 9000-1200 L304, Bldg.500
339.613 3 Molecular Basis of Mind and Behavior Min Zhuo T 9000-1200 L302, Bldg.500
339.623 3 Computational Neuroscience and Neuroinformatics Marcus Kaiser M 1500-1900 Rm201,Bldg.102
L304, Bldg.500
339.624 3 Experimental Methods in Visual Neuroscience Sang-Hun Lee T 1300-1500 L303, Bldg.500
339.712 3 Neural Plasticity in Cerebellum Sang Jeong Kim F 0900-1200 Medical Campus
339.721 3 Classics in Vision and Visual Cognition Randolph Blake R 1300-1600 L303, Bldg.500
339.722 3 Place Signals in the Brain Inah Lee R 0900-1200 L302, Bldg.500
339.732 3 Principles of Tomographic Neuroimages Jae Sung Lee F 1500-1800 Medical Campus
 
Courses (Fall 09)
 
CRN CR COURSE TITLE INSTRUCTOR DAY / TIME LOCATION SYLLABUS
339.501 3 Principles of Brain and Cognitive Sciences Team Teaching M 9000-1200 Rm103, Bldg.20 download
339.622 3 Neural Mechanisms of Episodic Memory Lee, I T 9000-1200 Rm103, Bldg.20 download
339.613 3 Molecular Basis of Mind and Behavior Zhuo, M W 9000-1200 Rm103, Bldg.20 download
339.711 3 Escitatory Synapse and Synaptic Plasticity Collingridge, GL R 9000-1200 Rm103, Bldg.20 download
339.632 3 Neuroimage Processing Chung, MK F 1300-1600 Rm116, Bldg.20 download
339.723 3 Seminars in Visual Neuroscience Lee, SH W 1400-1700 Rm106, Bldg.56 download
  • If you are a first year master’s program student, you must register for the Core Course 01, Principles of Brain and Cognitive Sciences and one 3 credit major track course. You can take up to 12 credits a semester.
  • If you are a first year Ph.D. program student, you also must register for the Core Course 01, Principles of Brain and Cognitive Sciences and one 3 credit major track course. You can take up to 12 credits a semester.
  • Visit our 2009 OCW site for lectures.
 
Academic calender (Fall 09)
 
  • Priority registration : n/a
  • Open registration for new students: Aug. 26 - Aug. 28 (9:00-16:00)
  • Late registration : Sep. 1 - Sep. 7 (Period to add/drop courses)
  • Last time adds with departmental approval : Sep. 8 (Students need to visit the office in this case)
  • Semester begins : Sep. 1
  • End of semester : Dec. 14
       Note: Please visit the official SNU website for the registration. Click here to download the registration manual.
 
academic calender (Spring 10)
 
  • Open registration : Jan. 2 - Jan. 8




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