neocortex

The amygdala receives stimuli from the thalamus, just as the neocortex does, and (iirc) the amygdala's outputs can affect the neocortex, but that's not how the neocortex gets its signals.

HTMs are biologically accurate -- they do the same thing as the neurons in our neocortex!

The absence of a neocortex does not appear to preclude an organism from experiencing affective states.

Its very different from existing machine learning algorithms, and they continually tweak it to reflect anything they learn about the neocortex.

The signals go to both the amygdala and neocortex independently, like a fiber optic splitter.

Numenta's primary goal is not solving practical problems (such as those typical in ML field) - it's understanding how neocortex processes information.

Our neocortex is made up of 6 layers of cell bodies, with interconnections and projections to other parts of the brain and body.

Bird brains are very different from mammal brains; they don't have a neocortex.

You then have to wait for the neocortex to catch up and say, hold on a second, this is just a regular horse.

And it seems like Jeff Hawkins found both mechanisms in the neocortex.

Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer.

It's an attempt to replicate the structure of the neocortex.

According to him, "consciousness is simply what it feels like to have a neocortex".

When your neocortex is completely swamped by the amygdala it is called "amygdala hijack".

The article says, "Thus, from the size of an animal’s neocortex, the frontal lobe in particular, you could theoretically predict the group size for that animal".

Jeff Hawkins himself states "HTM does not present any new idea or theory, but combines existing ideas to mimic the neocortex with a simple design that provides a large range of capabilities".

That's the Hierarchical Temporal Memory (HTM) theory about the Neocortex.