바로가기

모두를 위한 열린 강좌 KOCW

주메뉴

강의사진
  • 주제분류
    자연과학 >생물ㆍ화학ㆍ환경 >생명과학
  • 강의학기
    2010년 1학기
  • 조회수
    6,540
  •  
This course will focus on the organization and flow of information within the nervous system, at the levels of molecules, single neurons, and systems of neurons. The basic biophysical structure and function of the nervous system is now moderately well understood. However, the textbooks that describe the biology of the nervous system generally do

not discuss information, even though it is universally agreed that the nervous system is an information processing system. The course will relate the biophysical structure and function of the nervous system to the processing of information. In doing so, the course will discuss the fundamental principles of the nervous system that should be helpful in designing intelligent machines that are capable of unsupervised learning. The course will include a review of cellular and systems neurophysiology. However, students are expected to have already taken a course that covers basic neurobiology. Only a minimal knowledge of mathematics is needed.
Introduction : Neurophysiology and Information
배속
  • 이전차시
  • 다음차시

차시별 강의

PDF VIDEO SWF AUDIO DOC AX
1. 비디오 Introduction : Neurophysiology and Information The contents of this lecture will include intersection of neurophysiology and information. URL
문서 Introduction : Neurophysiology and Information - Lecture note The contents of this lecture will include intersection of neurophysiology and information. 소스URL
2. 비디오 Discussion : “Why we have not made significant progress towards artificial intelligence” The contents of this lecture will include development of Artificial Intelligence and students' opinion about that. URL
비디오 Discussion : “Why we have not made significant progress towards artificial intelligence” The contents of this lecture will include development of Artificial Intelligence and students' opinion about that. URL
3. 비디오 Information and Probability 1 The contents of this lecture will include (1) what the computational goal, (2) the definitions of information and probability. URL
문서 Information and Probability 1 - Lecture note 1 The contents of this lecture will include (1) what the computational goal, (2) the definitions of information and probability. 소스URL
문서 Information and Probability 1 - Lecture note 2 The contents of this lecture will include (1) what the computational goal, (2) the definitions of information and probability. 소스URL
비디오 Information and Probability 2 The contents of this lecture will include (1) the definition of probability of frequentist and bayesian and (2) probability distributions related to the Maximum Entropy Principle. URL
비디오 Information and Probability 3 The contents of this lecture will include (1) the definition of Bayesian probability and theorem (2) a neuron's infromaition. URL
문서 Information and Probability 3 - Lecture note 1 The contents of this lecture will include (1) the definition of Bayesian probability and theorem (2) a neuron's infromaition. 소스URL
문서 Information and Probability 3 - Lecture note 2 The contents of this lecture will include (1) the definition of Bayesian probability and theorem (2) a neuron's infromaition. 소스URL
비디오 Information and Probability 4 The contents of this lecture will include (1) paper about "Bayesian intergration in sensorimotor learning" and (2) basic chemical concepts related on neurophysiology URL
4. 비디오 A Neuron's Membrane Voltage 1 The contents of this lecture will include (1) the basic concepts about equilibrium potential and (2) action potential. URL
문서 A Neuron's Membrane Voltage 1 - Lecture note 1 The contents of this lecture will include (1) the basic concepts about equilibrium potential and (2) action potential. 소스URL
비디오 A Neuron's Membrane Voltage 2 The contents of this lecture will include (1) the structures and (2) key properties of voltage gated Ion channels. URL
5. 비디오 Synaptic Transmission The contents of this lecture will include (1) the types and properties of synapses, (2) synaptic vesicle release, and (3) synaptic plasticity. URL
문서 Synaptic Transmission - Lecture note The contents of this lecture will include (1) the types and properties of synapses, (2) synaptic vesicle release, and (3) synaptic plasticity. 소스URL
6. 비디오 Efficient Coding of Sensory Information The contents of this lecture will include (1) Information Theory and (2) Efficient coding in neuron URL
문서 Efficient Coding of Sensory Information - Lecture note The contents of this lecture will include (1) Information Theory and (2) Efficient coding in neuron 소스URL
7. 비디오 Efficiency and ambiguity in an adaptive neural code The contents of this lecture will include (1) statistical adaptation in neural code and (2) input/output relations for information transmission. URL
8. 비디오 General Theory The contents of this lecture will include a general theory of neural computation based on prediction by single neurons. URL
문서 General Theory - Lecture note The contents of this lecture will include a general theory of neural computation based on prediction by single neurons. 소스URL
비디오 General Theory 2 The contents of this lecture will include a general theory of neural computation based on prediction by single neurons. URL
비디오 General Theory 4 The contents of this lecture will include (1) How a neuron could select sources, (2) predicting future reward, and (3) plasticity rule. URL
비디오 General Theory 3 The contents of this lecture will include a general theory of neural computation based on prediction by single neurons. URL
문서 theory - lecture note The contents of this lecture will include (1) physiological principals of the retina. 소스URL
9. 비디오 Retina 1 The contents of this lecture will include (1) physiological principals of the retina. URL
비디오 Retina 2 The contents of this lecture will include (1) physiological principals of the retina , (2) predictive coding URL
10. 비디오 The Central Visual System 1 The contents of this lecture will include principles of (1) the Retinofugal Projection and (2) The Lateral Geniculate Nucleus (LGN) URL
비디오 The Central Visual System 2 The contents of this lecture will include anatomy and principles of the Striate Cortex URL
문서 The Central Visual System ( lecture note) 소스URL
11. 비디오 snaptic plasticity1-1 The contents of this lecture will include (1) Concepts of Neural connectivity and (2) Synaptic rearrangement depend on activity URL
문서 synaptic plasticity(lecture note) 소스URL
비디오 snaptic plasticity1-2 The contents of this lecture will include (1) Concepts of Neural connectivity and (2) Synaptic rearrangement depend on activity URL
12. 비디오 snaptic plasticity2-1 The contents of this lecture will include (1) mechanisms of synaptic plasticity and (2) Spiking Timing Dependent Plasticity(STDP) URL
비디오 snaptic plasticity2-2 The contents of this lecture will include (1) mechanisms of synaptic plasticity and (2) Spiking Timing Dependent Plasticity(STDP) URL
13. 비디오 Reward Signal 1 URL
비디오 Reward Signal 2 The contents of this lecture will include (1) dopamine's role and efficient representation, and (2) the principles of attention. URL
비디오 Reward Signal 3 and Discussion The contents of this lecture will include (1) the principles of attention, and (2) STDP with Dopamine signaling. URL
문서 Reward Signal (lecture note) 소스URL
14. 비디오 Motor System The contents of this lecture will include (1) the principles of attention, and (2) STDP with Dopamine signaling. URL
문서 Motor System(Lecture note) 소스URL

연관 자료

loading..

사용자 의견

강의 평가를 위해서는 로그인 해주세요.

이용방법

  • 1. 비디오 강의 이용시 필요한 프로그램 [바로가기]
    2. 동영상 실행 시 음성만 나오는 경우 [바로가기]
    3. 강의 자료 이용시 필요한 프로그램 [바로가기]

    ※ 강의별로 교수님의 사정에 따라 전체 차시 중 일부 차시만 공개되는 경우가 있으니 양해 부탁드립니다.

이용조건