Course Catalog

システム神経科学論
Advanced Systems Neuroscience

計算論的神経科学
2単位

Computational Neuroscience

2単位

ception, behavioral actions, emotions, decision-tional neuroscience, which is an approach for un-making and thinking are mediated by nerve cells

derstanding brain functions through mathematicalin the brain, more than 1,000 million of which ex-formulation. Participants learn how to analyze andist in the cerebral cortex alone, making local andhypothesize through a computational point of viewglobal, hierarchical networks, and representing andon their own project. The approaches of computa-processing neuronal information under specialized

tional neuroscience try to understand brain func-

working principles. In System neuroscience, gradu-

tions by analyzing multiple levels of neuroscientiﬁc

ate students are expected to master the coding ofphenomena on molecular, cell, network and systemnerve signals, detection and perception of sensory

levels. The goal of this course is to study math-stimuli, control of actions and motor learning,ematical and statistical concepts bridging multiple

emotion and decision-making. Classes will consist

levels of neural and behavioral data, such as neu-of lectures, workshops and discussions in a small

ral encoding and decoding, information theory, andgroup of students and professors.

Bayesian statistics.

コンピュータシミュレーション技法

システム神経科学技法
Systems Neuroscience Technique

1単位

Computer Simulation Technique

1単位

To understand the mechanism of the neural system,

Computer simulation is an eﬀective method to con-researchers need to obtain precise and reliable

ﬁrm what phenomena emerge from a hypothesized

experimental data by an appropriate combination

model. For instance, we can easily examine theof several experimental techniques. In this lecture,eﬀect of a certain cause by using a simulation ofstudents will learn the basics and applications ofa biologically detailed model. This also allows us

anatomical and physiological techniques widelyto understand the background mechanisms of anused in neuroscience, such as tracer injections, mi-observed phenomenon by looking for the smallest

croscopy, electroencephalograms, and extracellularmodel required in order to reproduce that phenom-and intracellular recordings. The students willenon. This lecture provides concrete examples tolearn how to select experimental techniques andstudy the required basic techniques in regards to

how to analyze their experiment data in accordance

the 2 contrary courses of action of pursuing bio-with the purpose of their own studies.

logical ﬁdelity on one side and of simpliﬁcation inorder to ﬁnd mechanisms on the other.

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学則・規程

In this course, we review theoretical and computa-

脳科学研究科

Higher-order brain functions such as sensory per-脳画像解析学
Brain Image Analysis

発達科学
2単位

Developmental Science

2単位

The goals of this class are to master the theory ofThis course is intended for students to seek thehuman non-invasive measurement of brain activity,

essence of human behavioral changes with a fo-

functional magnetic resonance imaging (fMRI), andcus on cognitive psychology, developmental psy-

to cultivate the skills for experimental designs andchology and linguistics, in order to deepen theiranalyses for fMRI.

understanding. In particular, students will learn

In the ﬁrst half, students will learn about possible

about the latest research on scientiﬁc approaches

dangers, ethical issues for participants, and imag-

to understanding a variety of findings in the de-ing mechanisms in MRI experiments. Also, students

velopmental process of infants. The first half ofwill gain understanding on RF pulse sequences andthe course will focus on explaining the concept ofthe meanings of the MR images. Furthermore, stu-development in science (Hiroyuki Okada). We will

dents will learn how to control interface devices,

also touch upon the modeling of learning mecha-

such as stimulus presentation systems, recording

nisms through a connectionist approach, which hassystems for biological reaction etc., which are nec-

become a hot topic in recent years. In the latter

essary for fMRI experiments.

half, we will reveal various experimental aspects

In the latter half, students will study from basicof its development, by concentrating on language

analyses to applied ones for fMRI data. Then, inacquisition in infants (Mutsumi Imai).

order to understand the detailed research methodsof fMRI correctly, students will gain the knowledge required for task design with considerationof the characteristics of fMRI. Furthermore, stu-発達科学技法
Developmental Science Technique

1単位dents will actually try to make task designs along

The recent development of brain sciences has had

some given themes and have discussions in order toa major impact on cognitive developmental science,

make up their skills for their own fMRI research.

since it is essential to interpret brain data corresponding to behavioral data. This course provides
opportunities to learn and experience various re-

ニューロイメージング技法
Neuroimaging Technique

1単位

search methods of developmental sciences so thatstudents can apply suggestions from brain research

The aim of this course is to learn about proce-to education, connecting information from linguis-dures for fMRI studies. The student will be shown

tics, cognitive psychology, and developmental psy-

how to perform fMRI tasks and how to calculate

chology. Students will experience data collection

fMRI data. The student will also experience 3

and analysis of questionnaires, surveys, behavioral

tesla MRI operation.

observations, and behavioral experiments. Especially in behavioral observations, we will discuss
the correlation between mother-child/child-childsocial interaction and ﬁrst/second language acquisition. Students will also learn recording methods
and analysis of EEG and NIRS, which are broadly142applied to infants and children. By comparing these
multiple research methods, we will discuss appropriate usage of these methods.

パラレル情報処理解析学
Parallel Information Processing

2単位

To understand information processing in the brain,
it is necessary to analyze functional spike activi-

コミュニケーションロボット工学
Communication Robot Engineering

2単位ties of many neurons which are simultaneously
measured through a multi-neuronal recording technique. In this lecture, students will learn the basics

jects, one tries to estimate what the other partyand applications of this multi-neuronal recording

intends to do in order to establish optimal mutualtechnique, focusing in particular on classical andinteractions, because the other party is a human

up-to-date researches on the mechanism of spatial

being with his/her own will. Lectures in Communi-cognition and memory by hippocampal neurons incation Robot Engineering cover theoretical models

rats. The students will also have a simulated ex-

required for constructing robots that can interact

perience to review an original paper as a reviewer

with humans, for the development of cognitive

with scientiﬁc insight and criticism.

脳科学研究科In the case of communication between human sub-functions and for algorithms for control systems.

introduce and discuss the latest researches, which
will be provided by the professors, to learn about

脳情報先端セミナーＡ（ロボット工学）
Advanced Brain Sciences A (Robotics)

1単位

the backgrounds and perspectives of researches in

Robotics consists of various fields of technology,

the ﬁeld of communication robot engineering, andsuch as mechanics, electricity, electrons and infor-

about how to read the literature.

mation. It is thought that intelligence technology isof importance for this fusion. In this course, students will study the latest research on the forms

脳型学習システム
Brain-type Learning Systemsof technology that are classified for intelligent
2単位robots. In particular, topics such as autonomous

In the information processing of the brain, anymobile robot, image recognition, and self-position

information-integration is related to learning andidentiﬁcation are studied.

memory. Therefore, in order to understand highorder functions, it is very important to study learning and memory systems. In this lecture, learningand memory systems from the synapse level of a

脳情報先端セミナーＢ（神経計算論）
Advanced Brain Sciences B (Neural Computation) 1単位

single neuron to the network level of neurons are

The purpose of this course is to learn about cut-explained. The mechanism and dynamics of learning

ting edge studies in computational neuroscience,and memory are introduced from both the experi-

theoretical and practical approaches for neurosci-

mental side and the theoretic side. In addition, theence by using computational models, and about

relation between information representation and themethods of analysis with computational hypoth-memory function in the brain will be touched upon.

esis in the students own research ﬁelds. In thisFurthermore, the latest knowledge about learning

course, we conduct a series of seminars by invitedand memory will be presented.

speakers who are globally active in computational

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学則・規程

While studying the literature, graduate students

neuroscience and related fields. Participants will

The goal of this course is to delineate the scope

not only study advanced ideas and approaches ofof the potential implications that ﬁndings in brain

these ﬁelds but will also learn computational andscience could have on research and theory build-quantitative analysis methods for their own re-ing in social sciences̶beyond the ﬁelds of neuro-

search projects.

economics and behavior economics̶from the perspectives of the social scientists.

認知心理学
Cognitive Psychology

2単位The origin of human intellectual activity is the脳情報先端セミナーＣ（情報創成）
Advanced Brain Sciences C (Information Creation)

1単位

brain, but, depending on the actions, it is pos-

The research of information creation (i.e. thinking,sible to observe activities to create wisdom. The

reasoning and creativity) is lectured in terms ofunderstanding of intelligent behavior as informa-experimental psychology, neuroscience, and com-tion processing leads to a deeper understanding of

putational neuroscience. The mechanisms of humanknowledge. In this lecture, we discuss the concepts

creativity are explained based on the evidence ofof cognitive science, methodology, and researchneuroscientific animal experiments. This lecture

trends.

is given in English. The students are required tohave the ability to discuss in English.

情報創成科学
Information Creation Science2単位

Animals with developed brains have inference

脳科学先端セミナー D（社会科学）
Advanced Brain Sciences D (Social Sciences) 1単位abilities with which they can estimate relationships

Findings in the brain sciences have recently hadbetween events without direct experience. Thesesignificant impacts on various fields in the socialabilities enable human beings, who have the mostsciences, providing impetus for collaborative ef-

advanced inference abilities, to create new things

forts between brain scientists and social scientists.

and events. To understand the basic mechanisms

In this course, we conduct a series of seminars byof creative brain functions, we will study (1) psy-

invited speakers who are globally active in social

chological theories in learning and thinking and (2)sciences and related ﬁelds.

theories in neural computation. At the end of thecourse, we will discuss the results of recent studies on inference, thinking and creativity.

社会科学から見た脳科学
The Impact of Brain Science on Social Sciences 2単位
Findings in the brain sciences have recently had
significant impacts on various fields in the socialsciences, providing impetus for collaborative efforts between brain scientists and social scientists.

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研究者倫理論
Scientiﬁc Research Ethics

2単位

Recently, scientiﬁc research ﬁeld was expanding in
relation to our society. In this course, we will discuss ethics required for science research.

ciety members, it would be diﬃcult to decide and心理物理学
Psychophysics

implement social policies and plans. For better
2単位

institutional design, it is necessary to understandIn system-neuroscience, well-controlled stimulus

the mechanisms of cognition and emotion in social

presentation and accurate measurement of behav-decision-making and their neural substrates. This

ior are indispensable. Experimental psychology has

course will be delivered in the form of lectures,developed psychophysical methods to analyze theworkshops, and group discussion.

relationship between stimulus and response. In thiscourse, we will systematically study psychophysical methods and related psychological theories, aswell as discuss recent psychological studies. We

神経感性工学
Neural KANSEI Engineering

2単位This course discusses the information processing

techniques to neuroscience research.

of music from the perspective of cognitive science.
The student studies the structure, knowledge representation, and cognition of music in reference

神経経済学
Neuroeconomics

2単位

to recent music-theoretical research. In doing so,various categories of musical entities, the identi-

denly arose at the end of the 20th century. Neuro-

ﬁcation and designation of the categories, and theeconomics is based on behavioral economics, sys-relationships between category formation and ourtems neuroscience for decision-making, and humanunderstanding of music. Finally, as possible top-functional neuroimaging. In the neuroeconomics

ics of ﬁnal projects, we will discuss the computer

course, students will learn the basic methods formodeling of composition and performance of music,

neuroeconomics and its ﬁndings. Students will also

and its theories and implementations.

study the findings of neuromarketing, which is acurrent extension of neuroeconomics. We will assess how valid neuromarketing is for our society
at present and in the future. Furthermore, we will

神経倫理学
Neuroethics

2単位

try to identify the essence and search the future

Neuroethics recently emerged through the interac-perspective of neuroeconomics by considering dif-tion between life-ethics and system-neuroscience

ferent aspects of this new research ﬁeld.

and consequently has two aspects. One istheethics of neuroscience, which criticizes studiesof neuroscience from the view point of ethics and社会システム制御論

morals. The other is the neuroscience of ethics,
2単位which investigates the neural mechanisms of ethi-

It is important to understand the individual play-cal decision-making. In this course, we will readers that constitute a society in order to control thepapers related to both aspects of neuroethics andsocial system. However, a society is not a simple

we will consider how neuroscientific studies oncollection of individuals. Without a perspective

ethics and moral inﬂuence our lives and society.

to understand mutual communications among so-145

学則・規程

the student gains an insight into the formation of

Neuroeconomis is a new academic field that sud-Social System Control

脳科学研究科will also talk on how we can apply psychophysicala specific field of brain science. To achieve this,

病態神経科学
Pathological Neuroscience

students have to have broad knowledge of past and2単位

current researches, available and effective tech-

The aim of this course is to learn about symptoms

niques, and most importantly, future directions ofof psychiatric disorder, such as schizophrenia,

the field. In this class, students will obtain suffi-

depression, autistic disorder, and neurological dis-

cient knowledge to design their own studies appro-order. A further aim is to investigate appropriate

priately, by searching, reading, and understanding

methods to identify neuronal bases of psychiatricvaluable literature in brain science.

and behavioral symptoms using neuroimaging techniques.

脳科学研究法 II（研究計画）
Brain Sciences Research Method II (Research Planning) 2単位

分子生命科学論
Advanced Molecular Life Science

2単位

Scientific research is a methodology, which provides new experiences from which new knowledge

Modern neuroscience is on the verge of uncover-is also deduced, by conducting well-organized ex-

ing the mechanisms of the development of neurons

periments, analyzing their results and inspecting

and glial cells in the central nervous system, andthese results carefully.

also those of memory and learning at the molecular

In order to clarify the diﬀerences between newly

level.

obtained knowledge and conventional knowledge, it

The ﬁnal goal of this class is for the student to beis necessary to design a well-organized plan and toable to acquire basic knowledge of molecular biol-

carry out experiments according to this plan forogy and the ability to apply this basic knowledge

the achievement of one s own purposes.

to neuroscientiﬁc research.

This class provides methodology that allows stu-

The class is composed of two parts: the ﬁrst partdents to establish their own projects by themselvesis focused on basic molecular biology; the second

through discussion with instructors.

part provides information on processing mecha-

It is required to complete the Brain Sciences

nisms and their regulation in the nervous system.

Method I (Research Survey) course to take this

There will be an emphasis on studies of molecularcourse.

mechanisms of synaptic transmission and signaltransduction. Furthermore, the relationship between new genetic engineering techniques. including the technique of recombining DNA, and animal
behavior are discussed.

脳科学研究法 III（データ解析）
Brain Sciences Research Method III (Data Analysis) 2単位
Natural phenomena generally look stochastic unless all of the causes are controlled. There are

脳科学研究法 I（研究サーベイ）
Brain Sciences Research Method I (Research Survey) 2単位

uncontrollable internal states in the brain. Therefore, a stochastic view is inevitable to understandthe brain through experimental data. Methods to

The goal of doctorate course research is to aim

infer objective conclusions from ﬁnite observations

at a truly original study by seeking novel ﬁndings,

are required to understand stochastic phenomena.

innovative technique, or sophisticated theories inIn this class, we discuss statistical methods to146

infer an objective conclusion from speciﬁc experimental data obtained by proper experiments inbrain science and discuss approaches to construct

脳科学研究法セミナー
Brain Sciences Research Method Seminar

2単位

testable hypotheses. It is required to complete theThis is a seminar for writing a doctoral thesis as

two courses: Brain Sciences Research Method

a compilation of all professional skills, knowledge,

I (Research Survey)

Brain Sciences Re-and research findings the student has gathered,search Method II (Research Planning) to take thisafter mastering research surveys, research plan-course.

ning, data analysis, and thesis writing, as literacy

andto advance scientific research and develop new

脳科学研究法 IV（論文作成）
Brain Sciences Research Method IV (Thesis Writing) 2単位

technology. Students will also join in discussions
to enhance the progress of each other s research,and learn how to utilize what they learned fromthe discussions to their own researches. Before

an original paper, in which the procedures and re-taking Brain Sciences Research Method Seminar,

sults have to be described clearly in order for theStudents are required to have ﬁnished Brain Sci-audience to realize its originality and usefulness.

ences Research Method I, II, III, and IV.

学則・規程

Without basic techniques of scientiﬁc writing, it is

脳科学研究科The ultimate goal of scientific study is to write

hard to show the scientiﬁc validity and originality
in one s paper. In this class, the supervisor provides an individual training on how to write scientiﬁc papers. It is required to complete the courses
Brain Sciences Research Methods I (ResearchSurvey), II (Research Planning) and III (DataAnalysis) to take this course.

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