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| Academic & Research Advisory Committee (ARAC) : Consisting of 1 intra-unit, 1-inter unit, and 1 advisor |
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| English as an Official Language : For better communications for academic as well as social purposes. |
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| 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 |
|
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| 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.
|
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| 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
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| Note: Please visit the official SNU website for the registration. Click here to download the registration manual. |
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| academic calender (Spring 10) |
| |
- Open registration : Jan. 2 - Jan. 8
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