Funny you should ask that.
This doggy grid pattern in the association area is the key to recall the associated doggy related info from other parts of the brain. I don’t expect to find any direct connections to this information at the lower-sensory areas.
Note that a doggy in the other parts of the brain primes recognition in the sensory areas, presumably through forming the same general grid patterns. [4]
As far as HTM and spatial invariance - how does the brain do this?
It’s not all done in one go.
We know something about the processing that is done in the subcortical structures. We know of place cells, grid cells[7], head position cells[6], border cells (more than likely whisker cell signaling in rodents), and goodness knows what else.[13][14] It is clear that the brain is forming an abstract representation of space. We even know the native data structure format - distributed grids.
In part …
Spin,
The entorhinal cortex is cortex. One of the takeaway lessons I have gotten from books like “On Intelligence” is that cortex is cortex. The distributed grid representation is clearly spread over a very large chunk of the entorhinal cortex. Why should this computing pattern not be found elsewhere in the cortex?
The older allocortex in the hippocampus communicates with the neocortex and distills this representation into chunks like “places.” That strongly suggests that the place information…
Consider the entorhinal cortex and what is being represented: a mixture of the vestibular system, visual representation, self-motion, postural feedback. Perhaps more. When you look at the repeating patterns where do you see any of that in the distributed dispersal that we choose to call a grid system?
I see that as the output of a common digestion system that ends up in a “common format.” The grid cells under discussion are a byproduct of explaining the coding that surrounds the hippocampus. Ev…
Let’s do a bit of a deep dive on this - the representation of sounds as a time sequence. This leads to more general questions that seems relevant to this conversation.
In programming of computers, we can assign a space for variables, pull them apart and bring them back together as needed for various operations.
In neural tissues, we don’t have this luxury. The various sensory streams come in on the same stream with successive waves laying one atop the next. In vision, we have the overall scene…
See also, the Feb 2 hackers hang out.
Whoops! I skipped last month’s hangout. Sorry! So this will be the first hangout of 2018. If anyone wants to suggest topics, please do so in a post.
This month, we’ll talk about:
Grid cells
community fork
python 3
siraj raval
research update (?)
As always, you can watch live or after the event here:
Stay tuned to this thread for a link to join the hangout and discuss live immediately before the broadcast.
[1] Understanding mid-level representations in visual processing.
[2] Probing intermediate stages of shape processinghttp://jov.arvojournals.org/article.aspx?articleid=2389021
[3] Processing context: Asymmetric interference of visual form and texture
[4] Feedforward and Feedback Processes in Vision