# 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.

## 9.29 Introduction to Computational Neuroscience (2004)

Category: Education | Updated almost 7 years ago

- Created
- October 08, 2010 13:01
- Category
- Tags
- License
- All Rights Reserved (What is this?)
- Formats
- H.264 Video (mp4), wmv
- Additional Files

- Viewed
- 5761 times

# More from 9.29 Introduction to Computational Neuroscience (2004)

## MATLAB, Statistics, and Linear Regr...

Added almost 7 years ago | 01:06:00 | 6213 views

## Game Theory I

Added almost 7 years ago | 00:56:48 | 3771 views

## Wiener-Hopf equations & Convolution...

Added almost 7 years ago | 01:18:00 | 4865 views

## Hodgkin Huxley Model I

Added almost 7 years ago | 01:12:00 | 4637 views

## Associative Memory II

Added almost 7 years ago | 01:22:00 | 3150 views

## Introduction

Added almost 7 years ago | 01:18:00 | 7547 views