Free computational neuron models

[Sean_O_Connor]

Not of much use to me but maybe someone can use them:
http://celltypes.brain-map.org/
However over at the Simon’s institute you can see that neurons have very complex nonlinear behavior.
https://www.youtube.com/watch?v=yG54DEM05kQ&list=PLgKuh-lKre1074yNHZkovrvbP9SIrKWb0

[vpuente]

Really interesting. Thanks.

With respect to the talks, Hippocampus seems like a incredible complex piece to start with (specially when key “pieces” bellow are not well understood). I guess it is more fashionable than thalamus (or easy to handle in experimental environments with espectacular results). Nevertheless, IMHO thalamus is the key. Those HO nuclei and Thalamic reticular nucleus seems critical for the whole cortex. I don’t know if they are fully understood.

Edit: ops… i missed this one https://www.youtube.com/watch?v=AJa7JRTnZFI&list=PLgKuh-lKre1074yNHZkovrvbP9SIrKWb0&index=11

[Bitking]

I think you are spot on regarding the subcortical structures.

The column forming neurons have reciprocal projections to subcortical structures that don’t seem to show up anywhere in the HTM theory. Some of these connections are prominent and the key to the top-down learning path and the related error distribution in this model of the cortex.

Deep Predictive Learning: A Comprehensive Model of Three Visual Streams

A very recent competing / complementary model of deep predictive coding in the brain. O’Reilly, Randall C., Dean R. Wyatte, and John Rohrlich. "Deep Predictive Learning: A Comprehensive Model of Three Visual Streams." Abstract: How does the neocortex learn and develop the foundations of all our high-level cognitive abilities? We present a comprehensive framework spanning biological, computational, and cognitive levels, with a clear theoretical continuity between levels, providing a coherent…

I see the RAC as a mechanism for gating the sensory stream regulated by how well the higher structures “resonate” with what is being sensed. If we have seen this and recognize it (ho-hum) not much gets through. If there is confusion with a lot of bursting going on (what the heck is this?) then the floodgates open up, driving enhanced learning. Call it attention if you want. Crick did.
http://www.pnas.org/content/81/14/4586

From what I have read, RAC fits into the spectrum of several mechanisms that modulate learning rates from single shot to pure slow Hebbian.

For that matter - there is a zoo of cell morphologies in the cortex that don’t show up anywhere in the HTM cannon. I am working to reconcile some of these with the HTM model.

HTM Mini-Columns into Hexagonal Grids!

Or at least some wild conjectures to provoke thought! This post assumes that you are familiar with basic HTM theory and are conversant with the concepts of SDRs and HTM minicolumns. May I be so bold: [HTM%20and%20GRIDS] First - let’s be clear what I am and am not talking about. This is about cells that work by forming regular hexagonal grid structures and are not necessarily the same thing as the “grid cells” that are coding some spatial aspect of the surrounding environment. These grid-for…

[vpuente]

Thanks for the papers.

If I’m not wrong, I think HTM (is somehow) modelling this via the sensorimotor ideas.

Nevertheless, this L5,L6,L4 back and forth complex signaling (through thalamus) seems to be quite elusive for anyone. That seminar has a few golden presentations talking about it. I think that Murray’s is really good.
Sadly, only 35 mins.

In general, the whole workshop (+20 talks) is really interesting to know where cutting edge in neuroscience is.