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
5674 times

More from 9.29 Introduction to Computational Neuroscience (2004)

Synapses

Synapses

Added over 6 years ago | 01:17:00 | 3541 views

Project Presentations I

Project Presentations I

Added over 6 years ago | 01:21:00 | 3991 views

Decision Making

Decision Making

Added over 6 years ago | 01:22:00 | 3660 views

More Neurophysiology

More Neurophysiology

Added over 6 years ago | 01:18:00 | 4230 views

Bernoulli, Poisson, and Markov Processes

Bernoulli, Poisson, and Markov Proc...

Added over 6 years ago | 01:08:00 | 4137 views

Hodgkin Huxley Model II

Hodgkin Huxley Model II

Added over 6 years ago | 01:20:00 | 3998 views