ºÚÁÏÍø

News

Brain scans shine light on how we solve clues

Partnered with machine learning, brain scans reveal how people understand objects in our world
Merkitys / Safa Hovinen
Image Credit Merkitys/Safa Hovinen

What’s an s-shaped animal with scales and no legs?  What has big ears, a trunk and tusks? What goes ‘woof’ and chases cats? The brain’s ability to reconstruct facts – ‘a snake’, ‘an elephant’ and ‘a dog’ – from clues has been observed using brain scanning by researchers at Aalto university. Their study was published today in .

In the research, test subjects were given three clues to help them guess what familiar objects the clues described. In addition to well-known animals, the clues depicted vegetables, fruits, tools and vehicles. The familiar objects and concepts described in the clues were never presented directly to the test subjects.

The researchers at Aalto University demonstrated that brain activation patterns contained more information about the features of the concept than had been presented as clues. The researchers concluded that the brain uses environmental clues in an agile way to activate a whole range of the target concept’s properties that have been learned during life.

‘This is a very important skill in nature because it enables a quick response based on small amount of information. For example, we automatically avoid a wiggly thing on a rocky shore because we know that a snake may be poisonous,’ says Sasa Kivisaari, Postdoctoral Researcher at the Aalto University.

The study used a huge amount of internet-based material to map the meaningful features associated with different concepts. Machine learning was used to create a model that describes the relationship between these features and brain activation patterns. Based on the model, brain activation patterns could be used to accurately deduce which concept the test subject was thinking of. For example, the activation patterns could be used to infer whether the clues led the subject to think of an elephant or a dog.

4 Brains thinking about moose
Scans of the brains of four different people, all thinking about clues for moose. (Sasa L. Kivisaari)

Understanding our differences to detect memory disorders

The method can be used to address the question why people understand or perceive the same concept differently.

‘The organization of meanings in the brain differs from person to person and can also affect how easy or hard it is for them to understand each other,’ says Professor Riitta Salmelin.

The research may also play a role in detecting memory disorders.

‘Combining and understanding meaningful information seems to involve the same brain areas that are damaged in early Alzheimer's disease. Therefore, the method we use may also be applied to the early detection of memory disorders,’ says Kivisaari.

Professor Riitta Salmelin's research team studies the neural basis of processing of language and meaningful information at the Department of Neuroscience and Biomedical Engineering at Aalto University. The research has been supported by the Academy of Finland, the Aalto Brain Centre and the Sigrid Jusélius Foundation.

Further information:

Visualisation of the model used in the study:

Sasa Kivisaari

Postdoctoral Researcher, Academy of Finland
Aalto University
sasa.kivisaari@aalto.fi
Tel: +358 50 432 2828

Riitta Salmelin
Professor
Aalto University
riitta.salmelin@aalto.fi
Tel: +358 50 344 2745

  • Updated:
  • Published:
Share
URL copied!

Read more news

An eye by Matti Ahlgren.
Press releases Published:

New macular degeneration treatment the first to halt disease’s progression

Aalto University researchers have uncovered a promising way to treat the dry form of the age- related macular degeneration (AMD) in the early diagnosis phase that could potentially stop its progression. The novel treatment approach aims to strengthen the protective mechanisms of affected cells using heat, explains Professor Ari Koskelainen.
Left: Daniela da Silva Fernandes, right: Robin Welsch.
Press releases Published:

AI use makes us overestimate our cognitive performance

New research warns we shouldn’t blindly trust Large Language Models with logical reasoning –– stopping at one prompt limits ChatGPT’s usefulness more than users realise.
Open Access Week 2025 poster with nine images behind the open access symbol and event details.
Research & Art Published:

Publishing Research Data Alongside Research Articles

Data availability statements are increasingly required by scientific journals. They include information on what data are available, where they can be found, and any applicable access terms
Six white faces surround a central purple face with a smiling expression on a yellow background.
Press releases Published:

Researcher cracks new ‘kissing number’ bounds — besting AI in the process

researcher found three new bounds for the famous mathematical ‘kissing number’ dilemma