MIT OpenCourseWare

教學時程

課程單元 重要日期
1 Introduction

Examples of Neural Coding, Simple Linear Regression
2 Convolution and Correlation 1

Firing Rate
Optional Lecture 1

Initializing and Using Vectors and Matrices in MATLAB®, Matrix Shortcuts, Plots in MATLAB®, Useful Commands

Simple Statistics and Linear Regression
3 Convolution and Correlation 2

Spike-triggered Average

Wiener-Hopf Equations and White Noise Analysis
4 Visual Receptive Fields 1

Basics of the Visual System, Center-surround Receptive Fields, Simple and Complex Cortical Cells
Assignment 1 due
Optional Lecture 2

Probability Theory
5 Visual Receptive Fields 2 Assignment 2 due
Optional Lecture 3

Markov Processes
6 Operant Matching 1
7 Operant Matching 2 Assignment 3 due
8 Games 1
Optional Lecture 4

Linear Stability Analysis
9 Games 2
10 Project Meeting 1

Discussion of Topics, Choice of Projects, Work Begins
11 Project Meeting 2 Assignment 4 due
12 Project Meeting 3
13 Project Meeting 4
14 Project Presentations 1
15 Project Presentations 2
16 Ion Channels, Nernst Equation, Passive Electrical Properties of Neurons
17 The Action Potential, Hodgkin-Huxley Model 1
18 Hodgkin-Huxley Model 2 Assignment 5 due
19 A-type Potassium Channels, Calcium-Dependent Potassium Channels
20 Synapses Assignment 6 due
Optional Lecture 5

Numerical Methods for Differential Equations
21 Associative Memory 1
22 Associative Memory 2 Assignment 7 due
23 Decisionmaking
24 Projects
25 Projects (cont.)
26 Review
Final Exam