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Areas in the Brain That Recognizes Known Objects Identified
This comes as a result of the efforts made by a team of computer scientists and cognitive neuroscientists at the university, led by neuroscientist Marcel Just and Computer Science Professor Tom M. Mitchell, who combined methods of machine learning and brain imaging to identify the patterns of brain activity associated with the objects.
During the course of study, a dozen participants enveloped in an MRI scanner were shown line drawings of 10 different objects five tools and five dwellings one at a time. The subjects were then asked to think about their properties.
The process enabled researchers to accurately determine which of the 10 drawings a participant was viewing, based on their characteristic whole-brain neural activation patterns.
For making the task even more challenging for themselves, the researchers excluded information in the brains visual cortex, where raw visual information is available, and focused more on the thinking parts of the brain.
The researchers found that the activation pattern evoked by an object was not located in just one place in the brain. They, for example, revealed that thinking about a hammer activated many locations in the subjects brains.
When the participants thought about how they would swing a hammer, the motor area in their brains got activated. Whereas, thinking about what a hammer was used for, and about the shape of a hammer, activated other areas.
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