9.29J | Spring 2004 | Undergraduate

Introduction to Computational Neuroscience

Lecture Notes

A selection of lecture notes are available for the listed sessions below.

Lec # Topics
1 Introduction

Examples of Neural Coding, Simple Linear Regression (PDF)

2 Convolution and Correlation 1 (PDF)

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 (PDF) (Courtesy of Justin Werfel. Used with permission.)

3 Convolution and Correlation 2

Spike-triggered Average

Wiener-Hopf Equations and White Noise Analysis (PDF)

6 Operant Matching 1 (PDF)

Course Info

As Taught In
Spring 2004
Learning Resource Types
Lecture Notes
Problem Sets