Artificial ‘brain’ reveals why we can’t always believe our eyes

A computer network closely modelled on part of the human brain is enabling new insights into the way our brains process moving images – and explains some perplexing optical illusions.

By using decades’ worth of data from human motion perception studies, researchers have trained an artificial neural network to estimate the speed and direction of image sequences.

Photo by Dhyamis Kleber on Pexels.com

The new system, called MotionNet, is designed to closely match the motion-processing structures inside a human brain. This has allowed the researchers to explore features of human visual processing that cannot be directly measured in the brain.

Their study, published in the Journal of Vision, uses the artificial system to describe how space and time information is combined in our brain to produce our perceptions, or misperceptions, of moving images.

1 Comment

Filed under Uncategorized

One response to “Artificial ‘brain’ reveals why we can’t always believe our eyes

  1. How very interesting, Tony!

    Liked by 1 person

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s