Save Money in this Sunday's paper

In the news

comments

Dreams decoded by scientists

By Geoffrey Mohan
Los Angeles Times
Contact Us

We value reader comments and suggestions. Contact John Bordsen, SciTech editor.

SciTech is independently reported and edited through the newsroom of The Charlotte Observer. The underwriter plays no role in the selection of the content. To learn more about underwriting opportunities, email Glenn Proctor or call 704-358-5407.

Dreams defy even the dreamer, slipping away as stealthily as they arrive in a mind made credulous by sleep. But what if scientists could read our dreams by using the most advanced medical imaging machines and employing the sophisticated algorithms that flag fraudulent transactions among millions of credit-card purchases?

Researchers in Japan have taken an early step toward this chimerical goal by training computers to recognize the images flitting through the minds of sleepers in the earliest stages of dreaming. Their results, published online by the journal Science, suggest that machines may be able to read our minds – at least while we’re in the anteroom of dreamland.

“We’re all intrinsically interested in dreaming, but neuroscientists to this day aren’t certain what it does for us,” said Jack Gallant, who studies the brain’s visual system at University of California at Berkeley. “It would be great to have a method of decoding to allow us to know what is going on when we dream.”

Like other researchers applying their brains to the brain, the Japanese scientists are probing dreams to understand how they relate to such core functions as memory consolidation and learning.

The researchers put three volunteers into a functional magnetic resonance imaging machine capable of tracking blood flow in the brain, a sign of neurons at work. They also hooked up the volunteers to electroencephalograph machines, which record the electrical activity of those neurons.

Then the scientists waited for the subjects to fall asleep.

The EEG readings showed when the volunteers entered an early stage of dreaming called hypnagogic hallucination. The researchers woke the subjects roughly 200 times, about every six minutes, to get verbal reports of what they “saw” before the images faded from memory.

The volunteers’ responses were understandably groggy, such as: “I saw a person ... it was something like a scene that I hid a key in a place between a chair and a bed and someone took it.” The researchers focused on the nouns in these descriptions and combined them into generic categories, which were represented by images – a human face, a key, furniture – and presented to the subjects while awake.

The rest was a giant math problem. The scientists wrote a computer program to sort through the patterns of brain activity captured by the functional MRI in both waking and sleeping states; then the program looked for links between those brain activity patterns and specific images.

The computers learned to decode dream imagery with an average accuracy of 60 percent, according to the study. In some cases, the accuracy was significantly higher.

“For some categories – like male, female and other characters – you can predict if this character was in the dream or not with an accuracy of 70 percent to 75 percent,” said study leader Yukiyasu Kamitani, a neuroscientist at ATR Computational Neuroscience Laboratories in Kyoto.

One of Gallant’s computer programs managed to identify 92 percent of images presented to waking subjects using only MRI readouts. Other studies were able to discern a brain’s attempt at motor control, which could lead to help for people who have lost control of their limbs.

Hide Comments

This affects comments on all stories.

Cancel OK

The Charlotte Observer welcomes your comments on news of the day. The more voices engaged in conversation, the better for us all, but do keep it civil. Please refrain from profanity, obscenity, spam, name-calling or attacking others for their views.

Have a news tip? You can send it to a local news editor; email local@charlotteobserver.com to send us your tip - or - consider joining the Public Insight Network and become a source for The Charlotte Observer.

  Read more



Quick Job Search
Salary Databases