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How is it possible for the brain to recognise drawn objects as houses or animals? In a recent study in the Journal of Neuroscience, scientists from the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, in collaboration with the Freie Universität Berlin and Justus Liebig University Giessen, investigated how our perception of line drawings differs from natural images. The researchers show that the perception of objects is particularly robust to changes in our environment.
Almost everyone can represent objects with a few strokes. Kindergarten children often come home with self-drawn pictures showing mom, dad, or perhaps their own home. And even thousands of years ago, our ancestors drew animals and other objects on cave walls with strokes. But how is it actually possible that we recognise these objects as a house or an animal? After all, line drawings are very different from the objects that surround us. They often have no colour, are highly simplified, and can even have a completely different shape than the real object.
To investigate the question of how we humans perceive line drawings, scientists at MPI CBS in Leipzig, in collaboration with the Freie Universität Berlin and Justus Liebig University of Giessen, studied how our perception of line drawings differs from natural images. The researchers showed the study participants pictures of objects such as dogs or cars in three variants: once as a normal photo, once as a detailed line drawing of the photo, and once as a quickly scribbled sketch. While participants looked at these pictures, their brain activity was recorded with functional magnetic resonance imaging and magnetoencephalography.
Johannes Singer, lead author of the study, explains: "By using these two measurement methods, we were able to determine the brain regions involved in the perception of objects and also measure the time course of the brain activity change with millisecond precision. This way, we were able to accurately watch the brain at work as it processed images of objects as photographs and as line drawings."
The researchers had two hypotheses here. Either our brain perceives objects differently when depicted as line drawings. Then it must resort to further processing steps. In this scenario, the line drawing of a dog has to go through an extra round in the brain, figuratively speaking, before it is recognised. Alternatively, our brains are already flexible enough to recognise a dog, even if it is only a few lines.
The results were clear: for the perception of drawings, the brain signals were very similar to those measured for photos of objects. This means that our brains can deal with line drawings of objects quite automatically.
"These results are not only interesting for our understanding of how we perceive line drawings," says Martin Hebart, head of the study, "We also now know that our perception of objects is really particularly robust to changes in our environment."
So, our brains make it easy for us to recognise objects when observed as line drawings. If you cannot draw very well, for example, that's not so bad: the brain already helps us recognise what you were trying to depict. In the future, the researchers want to extend these results to a larger number of objects and to the question of whether some line drawings might be harder for our brains to perceive than others.
Prof Martin Hebart
Group leader
hebart@cbs.mpg.de
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
Johannes Singer
doctoral researcher (in cooperation with FU Berlin)
jsinger@cbs.mpg.de
Johannes J.D. Singer, Radoslaw M. Cichy and Martin N. Hebart:
“The spatiotemporal neural dynamics of object recognition for natural images and line drawings”
in: The Journal of Neuroscience
https://www.jneurosci.org/content/early/2022/12/07/JNEUROSCI.1546-22.2022
https://www.cbs.mpg.de/2081728/20230105?c=7533
While participants looked at these pictures, their brain activity was recorded with functional magne ...
MPI CBS
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While participants looked at these pictures, their brain activity was recorded with functional magne ...
MPI CBS
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