Massachusetts Institute of Technology
Sign in | Create Account

Correlation and Convolution

In this lecture, we'll learn about two mathematical operations that are commonly used in signal processing, convolution and correlation. The convolution is used to linearly filter a signal, for example to smooth a spike train to estimate probability of firing. The correlation is used to characterize the statistical dependencies between two signals.

Comments (0)

It looks like no one has posted a comment yet. You can be the first!

You need to log in, in order to post comments. If you don’t have an account yet, sign up now!

Created
October 08, 2010 13:01
Category
Tags
License
All Rights Reserved (What is this?)
Additional Files


Viewed
4556 times

More from 9.29 Introduction to Computational Neuroscience (2004)

Game Theory II

Game Theory II

Added 4 years ago | 01:19:00 | 3130 views

Hodgkin Huxley Model I

Hodgkin Huxley Model I

Added 4 years ago | 01:12:00 | 3737 views

MATLAB, Statistics, and Linear Regression

MATLAB, Statistics, and Linear Regr...

Added 4 years ago | 01:06:00 | 5262 views

Visual receptive fields II

Visual receptive fields II

Added 4 years ago | 01:24:00 | 2802 views

Project Presentations II

Project Presentations II

Added 4 years ago | 01:17:00 | 2278 views

Probability Theory

Probability Theory

Added 4 years ago | 00:45:39 | 4406 views