—” …. ‘neural predictions are the basic unit of thought, encoding not just perception but also motivation, reward, and even movement’ … I saved this from somewhere, if someone wants to explain it to me i’d be very pleased”— Rival Voices @nosilverv
THE CORRECT ANSWER
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Predictions (sequences) occur at every level of the neural micro, macro, region, hierarchy
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Predictions include spatial relations
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Combined into objects, spaces, and boundaries
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Detecting novelties
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Combined into episodes
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Auto associated emotions
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Rehearsed (repeated) into short and eventually long term memory
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in competition with other rehearsals for long term memory
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Both intermittently and during sleep, and largely limited to the last wake cycle.
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Almost all emotions are caused by anticipated gain or loss of some asset(opportunity).
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Converting all experiences into statements of acquisition, loss prevention, or loss will explain all emotional states.
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The list of categories of ‘things’ we seek to acquire is small.
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In the past five to ten years, and somewhat in the past two we have largely formed a working model of the brain and it’s deceptively uncomplicated and disturbingly similar to a 3d video game. (really)
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as far as I know all the ‘magic and mystery’ of the brain is gone.
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All that remains is documenting the ‘tendency’ of which pathways form, and our biological differences in their formation, energy supply, and energy cost. (Elon Musk was promising this but most of us assume it’s going to either fail, or be solved non-mechanically.)
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CLOSING: So
—“neural predictions are the basic unit of thought, encoding not just perception but also motivation, reward, and even movement”—
I think this is easily misinterpreted. It’s more accurate to say that neural predictions and auto-associations that create then activate circuits that construct and reconstruct experiences from fragments of auto association with the indexes produced by episodes.
- The only issue I’m uncertain about is whether the index is retained in the entorhinal cortex or nearby or whether there is some other vehicle for indexing by auto-association. It’s very hard to know at this point. The most logical answer is that ‘it’s stored where it’s calculated’. I think that what might horrify or amaze people is how many episodes or sequences that even simple neural structures can store. It’s effectively infinite. The problem isn’t storing episodes. It’s sorting through them. There just has to be some means of separating an episode from the rest without re-experiencing some part of it. There just isn’t enough information after a while to recall it. It’s still all there. There just isn’t any way to index (find) it.