Picking up on some of the BIG IDEAS in brain research, which was wonderfully chaotic when we last discussed in December under the hashtag #BrainIdeasCountdown, e.g. https://neuromatch.social/@NicoleCRust/109557289393362842

Here's an attempt to fill in some blanks, and let's flip the hashtag: #BigBrainIdeas. I'll focus on the notion that there are facts, ideas and then there are "Big Ideas" and I'll focus on the last one. Please join in!

I'd argue that one of the most influential Big Ideas about the brain in the latter half of the 20th century is the is the notion that:

The neocortex of the brain is made up of a generic functional element that is repeated again and again and from this repetition, all of cortical function emerges

I'm talking about the cortical column, first described by Vernon Mountcastle in 1957. The unit contains ~10K neurons and humans have ~25 million of them. The rapid evolution of humans is proposed to have followed from a rapid expansion of cortex that happened because of this repetitive crystalline structure. The gist behind the "functional" bit is that each unit always does the same generic computation, and the different functions of different brain areas result from the different inputs that these units receive. @TrackingActions very nicely summarizes the ideas here: https://www.nature.com/articles/s41583-022-00658-6

So what does this generic functional unit do? Proposals vary. One idea, also reflected in deep convolutional neural networks, is that it does two(ish) things: selectivity and invariance, stacked repetitively to support things like recognizing objects. Other proposals suggest that the brain is a prediction machine and each unit contributes a little bit to those predictions in a manner that relies not just on feedforward connectivity, but also feedback. Some proposals suggest that the function of the unit varies along a gradient as a consequence of biophysical properties like receptor expression: https://www.nature.com/articles/s41583-020-0262-x.

Among brain researchers, this Big Idea is polarizing - obvious to some and misguided to others. Where are you in terms of your 'buy in' with this big idea?

#neuroscience #psychology #neuroAI #cognition @cogneurophys #BigBrainIdeas

Nicole Rust (@[email protected])

Here's a slightly more provocative way to pose the question: In The Idea of the Brain, Matthew Cobb argues, "In reality, no major conceptual innovation has been made in our overall understanding of how the brain works for over half a century ... we still think about brains in the way our scientific grandparents did." Setting aside semantic debates about what constitutes a "major conceptual innovation", brain researchers are clearly working on a large number of ideas that their grandparents had not thought of. But what are those, exactly?

Neuromatch Social
@NicoleCRust @TrackingActions @cogneurophys I am not sure that this idea has actually been very influential on the grand scale of neurocog theories. The modern theoretical approach seems to revolve around understanding how brain areas connect in networks to solve problems, and I can't see how generic computation would inspire/drive this perspective.
@bwyble @TrackingActions @cogneurophys
The idea spawned maps like this, which have been highly influential for neurocog theories, no?
@NicoleCRust @TrackingActions @cogneurophys I thought that diagram was the result of neuroanatomy studies. Why would a generalized function theory lead to a highly specific wiring diagram like this?
@bwyble
Yes, but ... Felleman & Van Essen defined the hierarchical levels of this diagram according to the cannonical microcircuit rule: L4 receives input; L2/3=feedforward output; L4/5=feedback output.

@NicoleCRust @bwyble

That rule was derived from anatomy too.

@DrYohanJohn @bwyble
The entire idea of a columnar canonical cortical microcircuit originates from anatomy: always 6 layers; always the same cell types; always connected together in the same way ....

@NicoleCRust @bwyble

I think the 'canonical' aspect comes from from e-phys actually, since the anatomists are old-school biologists in that they always point to differences. Mountcastle's work was electrophysiology after all.

Columns are a 'vertical' pattern (assuming they exist in a clear way, which some of us doubt) whereas laminar projection and termination patterns are 'horizontal'.

More here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532056/

The inevitable inequality of cortical columns

The idea of columns as an organizing cortical unit emerged from physiologic studies in the sensory systems. Connectional studies and molecular markers pointed to widespread presence of modular label that necessitated revision of the classical concept ...

PubMed Central (PMC)

@NicoleCRust @bwyble

But that comes many years after the concept arose in physiology.

Many of us have problems with it from an anatomical perspective. The vertical functional organization in sensory and motor areas is much more widely accepted. And even there it's complicated!

This critique is relevant too: https://pubmed.ncbi.nlm.nih.gov/15937015/

The cortical column: a structure without a function - PubMed

This year, the field of neuroscience celebrates the 50th anniversary of Mountcastle's discovery of the cortical column. In this review, we summarize half a century of research and come to the disappointing realization that the column may have no function. Originally, it was described as a discrete s …

PubMed
Predictive Processing: A Canonical Cortical Computation - PubMed

This perspective describes predictive processing as a computational framework for understanding cortical function in the context of emerging evidence, with a focus on sensory processing. We discuss how the predictive processing framework may be implemented at the level of cortical circuits and how i …

PubMed

@NicoleCRust @bwyble @kendmiller

Hm. I"m not convinced that evidence for predictive processing is the same as evidence for canonical columnar processing.

Most of the arguments for canonical operations strike me as normative rather than empirical. Which is fine, but it's worth being clear about it.

Some processes, like lateral inhibition, can recur in very different columns, so the issue of identical columns requires additional evidence.

@DrYohanJohn @bwyble @kendmiller
Fair enough!
(I also did not know about this side of your expertise ... fun to discover that today)

@NicoleCRust @bwyble @kendmiller

Yes I'm a computational modeler in an anatomy lab (Helen Barbas is the PI)... I've learned a lot of things I never expected to!

@NicoleCRust @DrYohanJohn @bwyble

Here's an example of a ubiquitous motif that appears everywhere in cortex. This sounds like a columnar canonical microcircuit to me.

A ubiquitous spectrolaminar motif of local field potential power across the primate cortex
https://www.biorxiv.org/content/10.1101/2022.09.30.510398v2

This may be a canonical circuit that allows top-down regulation of cortical processing.
https://doi.org/10.1016/j.neuron.2018.09.023

https://doi.org/10.1073/pnas.2014868117