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Neural Circuits Distinguish Between "Items" and "Objects" in the Brain

Specialized visual cortex circuits are found to distinguish between elements like water and sand, on one hand, and objects such as balls and tools, on the other hand, according to a recent study.

Neural Circuits Distinguish Between 'Items' and 'Objects' in the Brain
Neural Circuits Distinguish Between 'Items' and 'Objects' in the Brain

Neural Circuits Distinguish Between "Items" and "Objects" in the Brain

In a groundbreaking study published in the journal Current Biology, researchers at MIT have uncovered a fascinating aspect of human brain function. The study, titled "Dissociable Cortical Regions Represent Things and Stuff in the Human Brain," suggests that the brain's visual system differentiates between "things" (rigid or deformable objects) and "stuff" (liquids, granular, or flowing materials).

This neural distinction is significant as it influences how the brain plans physical interactions. Rigid objects can be grasped or manipulated directly, whereas fluids or gooey substances require different strategies, often involving tools.

The researchers found that specific areas in the brain's visual cortex respond preferentially to "things" like a bouncing ball, while other regions activate more when viewing "stuff" such as water or sand. This differentiation helps the brain anticipate the physical properties and behaviors of materials, informing appropriate motor actions for interaction.

The study, funded by the German Research Foundation, the U.S. National Institutes of Health, and a U.S. National Science Foundation grant to the Center for Brains, Minds, and Machines, involved scanning participants with functional MRI (fMRI) while they viewed videos of rigid and non-rigid objects ('things') and liquid and granular substances ('stuff').

The research focuses on understanding the brain basis of 'stuff' perception, which includes deformable or nonsolid substances like liquids and granular materials. The findings suggest double dissociations between the processing of things and stuff within both the ventral and dorsal visual pathways.

Looking ahead, the researchers plan to study whether the areas involved in processing rigid objects are active when a brain circuit involved in planning to grasp objects is active. They also aim to investigate whether any areas within the frontoparietal physics network (FPN), which analyses physical properties like size and stability to assess how materials will react physically, correlate with the processing of more specific features of materials, such as the viscosity of liquids or the bounciness of objects.

The researchers hypothesize that these regions may have developed to help the brain understand important distinctions for interacting with the physical world. Intriguingly, they suggest that the brain may have separate ways of representing 'things' and 'stuff', similar to artificial physics engines in video games.

In summary, the brain’s visual system segregates visual input into categories of "things" versus "stuff," enabling distinct behavioral responses based on the perceived physical nature of these materials. This research provides valuable insights into the complex workings of the human brain and offers a foundation for future studies exploring the intricate relationship between visual perception and physical interaction planning.

  1. This groundbreaking neuroscience news about brain research reveals that specific regions in the brain's visual cortex respond preferentially to "things" like a bouncing ball, while other areas activate more when viewing "stuff" such as water or sand.
  2. The study in the journal Current Biology, funded by various sources, including the German Research Foundation and the U.S. National Institutes of Health, focuses on understanding the brain basis of "stuff" perception, which includes deformable or nonsolid substances like liquids and granular materials.
  3. Intriguingly, the researchers hypothesize that the brain may have separate ways of representing "things" and "stuff," similar to artificial physics engines in video games, suggesting a potential connection between neuroscience and technology.
  4. The findings from this research offer valuable insights into the complex workings of the human brain, particularly in cognitive science, and provide a foundation for future studies exploring the intricate relationship between visual perception and physical interaction planning, including the potential impact on medical-conditions and motor actions.

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