----- 计算神经科学与认知建模:方法与程序学生指引
Chapter 1: Introduction PART 1: Modeling Neurons Chapter 2: What is a Differential Equation? Chapter 3: Numerical Application of a Differential Equation Chapter 4: Intermezzo: Computing With Loops Chapter 5: Integrate & Fire Chapter 6: Intermezzo: Computing With If Statements Chapter 7: Hodgkin & Huxley: The Men and Their Model Chapter 8: Intermezzo: Computing With Functions PART 2: Neural Networks Chapter 9: Neural Network Mathematics: Vectors and Matrices Chapter 10: Intermezzo: Interactive Computing Chapter 11: An Introduction to Neural Networks Chapter 12: Intermezzo: Interactive Exploration of the Delta Rule with Octave Chapter 13: Auto-associative Memory and the Hopfield Net PART 3: Probability and Psychological Models Chapter 14: What are the Odds? Chapter 15: Decisions as Random Walks Chapter 16: Intermezzo: Programming Psychophysical Experiments with Python PART 4: Cognitive Modeling as Logic and Rules Chapter 17: Boolean Logic Chapter 18: Intermezzo: Computing With Functional Languages Chapter 19: Production Rules and Cognition Chapter 20: Intermezzo: Functional Coding of a Simple Production System Chapter 21 ACT-R: A Cognitive Architecture Chapter 22: Agent Based Modeling Chapter 23: Concluding Remarks
{{comment.content}}