Brain scans shine light on how we solve clues

What鈥檚 an s-shaped animal with scales and no legs? What has big ears, a trunk and tusks? What goes 鈥榳oof鈥 and chases cats? The brain鈥檚 ability to reconstruct facts 鈥 鈥榓 snake鈥, 鈥榓n elephant鈥 and 鈥榓 dog鈥 鈥 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鈥檚 properties that have been learned during life.
鈥楾his 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,鈥 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.

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.
鈥楾he 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,鈥 says Professor Riitta Salmelin.
The research may also play a role in detecting memory disorders.
鈥楥ombining 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,鈥 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 Jus茅lius 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
Read more news

Time crystals could power future quantum computers
A time crystal, a long-life quantum system approaching perpetual motion, has been hooked up to its environment for the first time, unlocking an intriguing way to increase quantum computational and sensing power.
Nanoparticles in Functional Textiles
Dr. Md. Reazuddin Repon, Postdoctoral Researcher at the Textile Chemistry Group, Department of Bioproducts and Biosystems, Aalto University, has contributed as an editor to a newly published academic volume titled 鈥淣anoparticles Integrated Functional Textiles鈥.
Introducing Qi Chen: Trustworthy AI requires algorithms that can handle unexpected situations
AI developers must focus on safer and fairer AI methods, as the trust and equality of societies are at stake, says new ELLIS Institute Finland principal investigator Qi Chen