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| | <tr><td><img src="/mediawiki/uploads/c/c6/05_title.jpg"></td><td width="60"> </td></tr> | | <tr><td><img src="/mediawiki/uploads/c/c6/05_title.jpg"></td><td width="60"> </td></tr> |
| - | <tr><td height=30> </td></tr>
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| | <tr><td align="center"><img src="/mediawiki/uploads/b/be/05_stitle01.jpg" alt=""></td></tr> | | <tr><td align="center"><img src="/mediawiki/uploads/b/be/05_stitle01.jpg" alt=""></td></tr> |
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| | <table width="100%" cellspacing=0 cellpadding=0 border="0"> | | <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><span style="text-transform:uppercase;color:#000000;font-size:17px;font-family:arial;font-weight:bold">IMGPORTANT DATES AND DEADLINES</span></td></tr> |
| | <tr><td colspan=2 height="20"> </td></tr> | | <tr><td colspan=2 height="20"> </td></tr> |
| | <tr><td width="54" rowspan="92"> </td> | | <tr><td width="54" rowspan="92"> </td> |
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| | <tr><td height=20> </td></tr> | | <tr><td height=20> </td></tr> |
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| - |
| |
| - | <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>
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| - | <tr><td height=10></td></tr>
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| - | <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>
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| - | <tr><td height=20> </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>
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| - | <tr><td height=20> </td></tr>
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| | | | |
| - | <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>
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| - | <tr><td height=20> </td></tr>
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| - |
| |
| - |
| |
| - | <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.
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| - | If possible, some of key authors of the papers will be invited to the class, and discuss the work.</td></tr>
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| - | <tr><td height=20> </td></tr>
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| - |
| |
| - |
| |
| - | <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Excitatory Synapse and Synaptic Plasticity(339.711)</span></td></tr>
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| - | <tr><td height=10></td></tr>
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| - | <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
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| - | receptor and Signals, AMPA receptor and Synaptic Plasticity, Metabotropic glutamate receptors and Synaptic Plasticity,
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| - | Muscarinic glutamate receptors and Synaptic Plasticity. Part 3 (3 weeks): New insight into molecular and cellular model of learning
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| - | and memory. The role of Receptor Trafficking in Synaptic Plasticity, Postsynaptic Protein and Long-term Synaptic Plasticity,
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| - | Future Direction of Neuroscience: Drug development for Alzheimer's disease. Part 4 (5 weeks): Library Project Student will be
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| - | informed their library project title (one of 10 titles). Student will search references and write 3000 words essay (written in English).</td></tr>
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| - | <tr><td height=20> </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>
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| - | <tr><td height=10></td></tr>
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| - | <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
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| - | 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
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| - | and memory behavior.</td></tr>
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| - | <tr><td height=20> </td></tr>
| |
| - |
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| - | <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> </td></tr>
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| - |
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| - | <tr><td><span style="color:#000000;font-size:17px;font-family:Times New Roman;">Sensory Processes and Perception(339.621)</span></td></tr>
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| - | <tr><td height=10></td></tr>
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| - | <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
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| - | 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
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| - | of philosophy concerned with the origins of knowledge) and the mind/body problem. In addition, the course can establish links
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| - | 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> </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> </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> </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
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| - | 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>
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| - | <tr><td height=20> </td></tr>
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| - |
| |
| - | <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>
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| - | <tr><td height=20> </td></tr>
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| - |
| |
| - |
| |
| - | <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>
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| - | <tr><td height=20> </td></tr>
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| - |
| |
| - |
| |
| - | <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>
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| - | <tr><td height=20> </td></tr>
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| - |
| |
| - |
| |
| - | <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>
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| - | <tr><td height=20> </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>
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| - | <tr><td height=20> </td></tr>
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| - |
| |
| - |
| |
| - | <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>
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| - | <tr><td height=20> </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>
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| - | <tr><td height=20> </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> </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> </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> </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> </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> </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> </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> </td></tr>
| |
| - | <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">
| |
| - | <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>
| |
| | | | |
| | | | |
