The hippocampus as a 'predictive map'
deepmind.com
The hippocampus as a 'predictive map'
1–10 of 54 posts
Re: The hippocampus as a 'predictive map'
#2Are the structure same throughout the areas where we think in general? Otherwise there could be some sort of programming involved to get the brain to think predictively
Re: The hippocampus as a 'predictive map'
#3It's too bad, their prior papers were generally open for anyone to read. These new papers appear to be behind paywalls :(
Re: The hippocampus as a 'predictive map'
#4It's too bad, their prior papers were generally open for anyone to read. These new papers appear to be behind paywalls :(
Obligatory Sci-Hub link
https://sci-hub.cc/https://www.nature.com/neuro/journal/vaop...
Re: The hippocampus as a 'predictive map'
#5It's too bad, their prior papers were generally open for anyone to read. These new papers appear to be behind paywalls :(
It's open for anyone to read, the article links to nature which is behind paywall. https://deepmind.com/research/publications/
the download link is open.
https://www.biorxiv.org/content/biorxiv/early/2017/07/25/097...
Re: The hippocampus as a 'predictive map'
#6Relevant:
A compressed sensing perspective of hippocampal function (2014): Hippocampus is one of the most important information processing units in the brain. Input from the cortex passes through convergent axon pathways to the downstream hippocampal subregions and, after being appropriately processed, is fanned out back to the cortex. Here, we review evidence of the hypothesis that information flow and processing in the hippocampus complies with the principles of Compressed Sensing (CS). The CS theory comprises a mathematical framework that describes how and under which conditions, restricted sampling of information (data set) can lead to condensed, yet concise, forms of the initial, subsampled information entity (i.e., of the original data set). In this work, hippocampus related regions and their respective circuitry are presented as a CS-based system whose different components collaborate to realize efficient memory encoding and decoding processes. This proposition introduces a unifying mathematical framework for hippocampal function and opens new avenues for exploring coding and decoding strategies in the brain.
Re: The hippocampus as a 'predictive map'
#7I don't know how this theory fits in with patient H.M. who was still capable of many types of learning and planning, despite having his entire hippocampus removed.
https://en.wikipedia.org/wiki/Henry_Molaison
At the least such a broad sweeping theory of how a brain region works should address how it fits in with evidence with the most famous lesion (and deeply studied) patient who did not have said brain area?
Re: The hippocampus as a 'predictive map'
#8I don't know how this theory fits in with patient H.M. who was still capable of many types of learning and planning, despite having his entire hippocampus removed. https://en.wikipedia.org/wiki/Henry_Molaison At the least such a broad sweeping theory of how a brain region works should address how it fits in with evidence with the most famous lesion (and deeply studied) patient who did not have said brain area?
> "The researchers found, to their surprise, that half of H.M.'s hippocampus had survived the 1953 surgery..."
Re: The hippocampus as a 'predictive map'
#9It's too bad, their prior papers were generally open for anyone to read. These new papers appear to be behind paywalls :(
[deleted]
Re: The hippocampus as a 'predictive map'
#10Reading about rewards in AI context makes me wonder, why current AI only focuses on the network topology aspect of natural intelligence.
What about the neurotransmitters like dopamine or serotonine? Could they (or more specific: their effects) be key to an AI that feels more “natural“?