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Indeed, it's worth mentioning we still have absolutely no idea how memory works.


we know a lot about memory, but most AI researchers are simply ignorant in neuroscience or cognitive psychology and stick with their comfort zone.

Saying "we have no idea" is just being lazy.


No. We really have no idea what is going on. We only know some basic psychology about it (holding 7 things in short term, etc.) If we knew something about implementation, we could implement human-like memory.


I suggest starting with the works by Howard Eichenbaum on memory and Edvard & May-Britt Moser (and John O'Keefe and Lynn Nadel) on place & grid cells.

For the latest and greatest see

https://twitter.com/doellerlab

https://twitter.com/KordingLab

https://twitter.com/preston_lab

https://twitter.com/memorylab

https://twitter.com/ptoncompmemlab

https://twitter.com/MillerLabMIT

https://twitter.com/hugospiers

Once you start pulling that thread you'd be surprised how much we do know.


Literally nothing you posted surprises me in the least, and literally none of this work shows that we know anything at all about how memory is implemented. Perhaps read some of the many takedowns of so called "grid cells" which show that it is completely unsurprising and not at all interesting or noteworthy that activity in some parts of the brain correlates with location information. The important questions always remain unanswered.


We know a fair bit about how cognitive maps work in 2D and 3D Euclidean environments. We know damn little about how nontrivial manifold structure can be learned, particularly in spaces with more than three dimensions.


spatial cognitive maps used for navigation are extendable to arbitrarily high dimensional spaces for abstract concept representation, using pretty much the same machinery.

There is a ton of work on this, both theory and empirical evidence, here are just a few:

"Navigating cognition: Spatial codes for human thinking" https://science.sciencemag.org/content/362/6415/eaat6766.abs...

"Organizing conceptual knowledge in humans with a gridlike code" https://science.sciencemag.org/content/352/6292/1464

"The Hippocampus Encodes Distances in Multidimensional Feature Space" https://www.sciencedirect.com/science/article/pii/S096098221...

"A non-spatial account of place and grid cells based on clustering models of concept learning" https://www.nature.com/articles/s41467-019-13760-8

"A learned map for places and concepts in the human MTL" https://www.biorxiv.org/content/10.1101/2020.06.15.152504v1....

"What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior" https://www.sciencedirect.com/science/article/pii/S089662731...

"A map of abstract relational knowledge in the human hippocampal–entorhinal cortex" https://elifesciences.org/articles/17086

"Map-Like Representations of an Abstract Conceptual Space in the Human Brain" https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884611/

"Knowledge Across Reference Frames: Cognitive Maps and Image Spaces" https://www.sciencedirect.com/science/article/pii/S136466132...

"Concept formation as a computational cognitive process" https://www.sciencedirect.com/science/article/pii/S235215462...

"Efficient and flexible representation of higher-dimensional cognitive variables with grid cells" https://journals.plos.org/ploscompbiol/article?id=10.1371/jo...

"The cognitive map in humans: spatial navigation and beyond" https://www.nature.com/articles/nn.4656

"A general model of hippocampal and dorsal striatal learning and decision making" https://www.pnas.org/content/117/49/31427.short

"On the Integration of Space, Time, and Memory" https://www.sciencedirect.com/science/article/pii/S089662731...


Unless you know of working implementations of memory algorithms I tend to agree that we have no clue how memory works.


that's called being lazy




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