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1. ein0p+Rl4[view] [source] 2024-05-11 18:54:04
>>geox+(OP)
As important and impressive a result as this is, I am reminded of the cornerstone problem of neuroscience, which goes something like this: if we knew next to nothing about processors but could attach electrodes to the die, would we be able to figure out how processors execute programs and what those programs do, in detail, just from the measurements alone? And now scale that up several orders of magnitude and introduce sensitivity to timing of arrival for signals, and you got the brain. Likewise ok, you have petabytes of data now, but will we ever get closer to understanding, for example, how cognition works? It was a bit of a shock for me when I found out (while taking an introductory comp neuroscience course) that we simply do not have tractable math to model more than a handful neurons in time domain. And they do actually operate in time domain - timings are important for Hebbian learning, and there’s no global “clock” - all that the brain does is a continuous process.
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2. spacet+1s4[view] [source] 2024-05-11 20:00:38
>>ein0p+Rl4
>> The sample was immersed in preservatives and stained with heavy metals to make the cells easier to see.

Try experimenting with immersing your brain in preservatives and staining with heavy metals to see how would you be able to write the comment similar to the above.

No wonder that monkey methods continue to unveil monkey cognition.

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