Massachusetts Institute of Technology
Sign in

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.

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


Viewed
5396 times

More from 9.29 Introduction to Computational Neuroscience (2004)

Decision Making

Decision Making

Added over 5 years ago | 01:22:00 | 3438 views

Associative Memory II

Associative Memory II

Added over 5 years ago | 01:22:00 | 2901 views

Associative Memory I

Associative Memory I

Added over 5 years ago | 01:23:00 | 3388 views

Probability Theory

Probability Theory

Added over 5 years ago | 00:45:39 | 5039 views

Operant Matching

Operant Matching

Added over 5 years ago | 01:20:00 | 3408 views

Project Presentations I

Project Presentations I

Added over 5 years ago | 01:21:00 | 3724 views