Brain Science Fundamentals
- 한국과학기술원
- Christopher Fiorillo
페이스북
트위터
카카오톡
네이버밴드
링크복사
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- 주제분류
- 자연과학 >생물ㆍ화학ㆍ환경 >생명과학
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- 강의학기
- 2012년 가을학기
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- 조회수
- 6,353
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This course is intended to serve as an introduction to neuroscience. The typical approach to teaching an introductory neuroscience course is to focus almost exclusively on the mechanics of brain function (the biophysical mechanisms by which molecules and cells interact in the brain). This course will cover basic biophysical mechanisms at all levels from molecules to neurons to neural systems. However, in addition, this course will cover theoretical aspects of information processing and how information processing relates to both the mechanics of the nervous system and the system’s general computational goals.
- 수강안내 및 수강신청
- ※ 수강확인증 발급을 위해서는 수강신청이 필요합니다
Introduction
차시별 강의
| 1. | |
Introduction | 1. Introduction of this course 2. Overview of mechanics |
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Introduction | 1. Introduction of this course 2. Overview of mechanics |
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| 2. | |
The Goal of the Brain | 1. Function of Brain 2. Information, probability and prediction |
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The Goal of the Brain | 1. Function of Brain 2. Information, probability and prediction |
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Overview of Function | 1. Information flows through molecular sensors 2. Information transformation in sensory-motor pathway |
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Overview of Function | 1. Information flows through molecular sensors 2. Information transformation in sensory-motor pathway |
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Overview of Structure | 1.Structure of neurons 2. Classifying neurons |
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Overview of Structure | 1. Structure of neurons 2. Classifying neurons |
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Membrane voltage : passive properties(1) | 1. properties of water, ion, and neuronal membrane 2. ion channels, equilibrium potential and resting potential |
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Membrane voltage : passive properties(1) | 1. properties of water, ion, and neuronal membrane 2. ion channels, equilibrium potential and resting potential |
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Membrane voltage : passive properties(2) | 1. an equivalent circuit of neuronal membrane 2. common features of ion channels 3. function of action potential |
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Membrane voltage : active properties(1) | 1. patch clamp recording 2. action potential and voltage gated ion channel |
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Membrane voltage : active properties(1) | 1. patch clamp recording 2. action potential and voltage gated ion channel |
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Membrane voltage : active properties(2) | 1. Hodgkin-Huxley model and action potential conduction 2. Ion channel diversity |
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Membrane voltage : active properties(3) | 1. Three Key Properties of Voltagegated Ion Channels 2. Conduction velocity | |
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Voltage-Regulated Channels | 1. Functional Classification of Ion Channels 2. Maintaining Homeostasis |
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Voltage-Regulated Channels | 1. Functional Classification of Ion Channels 2. Maintaining Homeostasis |
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Synapse (1) | 1. synaptic transmission and release probability 2. paired pulse depression and facilitation |
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Synapse (2) | 1. synaptic transmission and release probability 2. paired pulse depression and facilitation |
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Synapse | 1. synaptic transmission and release probability 2. paired pulse depression and facilitation |
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Neurotansmitters, Receptors, and Signal Transduction (1) | 1. Dale s principle 2. Types of neurotransmitter |
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Neurotansmitters, Receptors, and Signal Transduction (2) | 1. Receptors : ionotropic receptor, metabotropic receptor 2. G protein and second messenger |
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Neurotansmitters, Receptors, and Signal Transduction | |
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Gross Anatomy of the Brain (1) | 1. Anatomical terms | |
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Gross Anatomy of the Brain (2) | 2. major division of CNS and cortex, and brodmann map | |
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Gross Anatomy of the Brain | 1. Anatomical terms 2. major division of CNS and cortex, and brodmann map |
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Theory of learning (1) | 1. input and output of a neuron | |
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Theory of learning (2) | 2. Hebbian and anti-hebbian plasticity | |
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Theory of learning | 1. input and output of a neuron 2. Hebbian and anti-hebbian plasticity |
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Development of Connectivity (1) | 1. Development of neuronal structure | |
| Development of Connectivity (2) | 2. Synaptic rearrangement in LGN and visual cortex | |||
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Development of Connectivity | 1. Development of neuronal structure 2. Synaptic rearrangement in LGN and visual cortex |
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| 13. | Mechanisms of Learning (1) | 1. Model for the study of associative plasticity : hippocampus 2. Glutamate receptors 3. Long term potentiation and depression(LTP, LTD) |
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| Mechanisms of Learning (2) | 1. Habituation and Sensitization of Gill-Withdrawal Reflex 2. Classical conditioning in Aplysia 3. Synaptic timing dependent plasticity(STDP) |
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Mechanisms of Learning | Mechanisms of learning and plasticity in neurons | |
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