researchers from Osaka Universityin Japan, were able to create images from MRI scans of brain activity using artificial intelligence.. The experiment used computational models known as Stable Diffusion, similar to those used by Dall-E, a platform that generates images from texts.

The study analyzed two parts of the brain: the occipital lobe, responsible for shape and perspective, and the temporal lobe, which gives meaning to the image. Based on this, the technology developed by the researchers was able to reproduce the image of the train, which was shown to a person.

Although the colors of the generated image have been changed, the shapes are close to the original ones. The aim of the study is to map the code that underlies the brain, which could lead to advances in fields such as medicine and psychology.

According to Yu Takagi, a professor at Osaka University and author of the study, this new technique can go to the limit of reproducing images of dreams or thoughts on a computer.

Process of creation

To create the model, the researchers used data from four people who underwent MRI scans, looking at 10,000 portraits each. Although the result was satisfactory, the validity of the study is limited by the four volunteers analyzed.

How the brain associates meaning with what the eyes see depends on individual experience and context, according to Daniel Takahashi, a professor at the Brain Institute at UFRN, which can make it difficult to apply this technique to more people. In addition, each volunteer in the experiment underwent 30 to 40 resonance sessions, which may not be feasible to scale up the study.

Louis Lamb, professor at UFRGS who specializes in the application of artificial intelligence in healthcare, notes that the results of the study need to be statistically confirmed before they can be applied in practice, for example, in a vaccine.

The Japanese article is still in the preprint stage and needs to be evaluated by others before it is published in a scientific publication.

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Via: Folha de S.Paulo Source: New Scientist

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