Wolfram's physics project (@stephen_wolfram) has a peculiar conjecture that reducible computation emerges out of irreducible computation. Biological cognition perhaps is based on analogous principles. The complexity of cells lead to the behavior of brains.
-
Show this thread
-
If we assume that the computation of neurons or a collection of neurons are irreducible, then that implies a limitation of the reductionist approach of many neuroscience research.
1 reply 2 retweets 4 likesShow this thread -
However, vertebrate brains aren't uniform but are constructed out of distinct parts with specific functions. These parts (i.e. cortex, thalamus, hippocampus, cerebellum) work in cooperation with each other. Thus there is some behavioral predictability in each.
2 replies 1 retweet 4 likesShow this thread -
Replying to @IntuitMachine
some predictability, but it gets further and further from useful further from the causal chain cc
@yudapearl 方@JimmyRis
@lee_sedol
@Kasparov63 ♘@sama
@michael_nielsen
@ID_AA_Carmack
@MagnusCarlsen ♞
@pandemiques
@karpathy
@hardmaru
@Pravduh15
1 reply 2 retweets 4 likes -
Replying to @DanielleFong @yudapearl and
The surprising conjecture is that further from the causal chain there emerges regularities that become predictable.
1 reply 2 retweets 2 likes
true!
what people claim is thermodynamics is usually thermostatics: the study of equilibriums
what is solvable mathematics isn't the most interesting - analytical solutions are very rare
nature hangs in the balance twixt chaos & void:
cosmos, bridging truth & possibility
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.