For example, it is dim light and an object is in partial shade, hiding some features of an object. It is a rounded, dark brownish object. The object is rather ambiguous - it could be a rock, a potato, a turtle, a grenade, a ball, etc.
When looking at an ambiguous object like that described above, do different neural networks get activated with different intensity? Does the brain pick the highest probability and the person label the object with that name? For example, does the brain get input like:
- 63% of potato detecting neurons get activated, saying it looks like a potato
- 50% ball
- 34% turtle
Or is it the feature recognition that helps distinguish objects? For example:
potato has skin texture and dimples
- ball is perfectly round
- turtle has irregular edge and rectangular pattern
- grenade has a handle and pin
If an object has one of these features, it is unlikely to be another object?