Separately, I think your neuroanatomy is off—visual object recognition is conventionally associated with the occipital and temporal lobes (cf. “ventral stream”)
Well, object recognition is happening all over :P My neuroanatomy is certainly off, but I was more thinking about integrating multiple senses (parietal lobe getting added to the bingo card) with abstract/linguistic knowledge.
Maybe we should switch away from bleggs/rubes to a real example of coke cans / pepsi cans. There is a central node—I can have a (gestalt) belief that this is a coke can and that is a pepsi can. And the central node is in fact important in practice. For example, if you see some sliver of the label of an unknown can, and then you’re trying to guess what it looks like in another distant part of the can (where the image is obstructed by my hand), then I claim the main pathway used by that query is probably (part of image) → “this is a coke can” (with such-and-such angle, lighting, etc.) → (guess about a distant part of image). I think that’s spiritually closer to a Network 2 type inference.
Yeah, filling in one part of the coke can image based on distant parts definitely seems like something we should abstract as Network 2. I think part of why this is such a good example is because the leaf nodes are concrete pieces of sensory information that we wouldn’t expect to be able to interact without lots of processing.
If we imagine the leaf nodes as more processed/abstract features that are already “closer together,” I think the Network 1 case gets stronger.
Well, object recognition is happening all over :P My neuroanatomy is certainly off, but I was more thinking about integrating multiple senses (parietal lobe getting added to the bingo card) with abstract/linguistic knowledge.
Yeah, filling in one part of the coke can image based on distant parts definitely seems like something we should abstract as Network 2. I think part of why this is such a good example is because the leaf nodes are concrete pieces of sensory information that we wouldn’t expect to be able to interact without lots of processing.
If we imagine the leaf nodes as more processed/abstract features that are already “closer together,” I think the Network 1 case gets stronger.
Gonna go read about semantic dementia.