|
|
|
|
|
by Xenograph
1946 days ago
|
|
While I appreciate the intention, I think it's a bad analogy. Can you think of a small piece of machine code that you could inject into arbitrary computers that would produce useful effects in some significant proportion of the computer population? (Don't think so...) Computers and biological systems are so wildly different. Although perhaps you'd find better analogies comparing brains to machine learning systems. Eg. "Trying to find out how ADs work is like applying some simple numerical transformation on some particular part of a deep neural network and trying to find out what changes are produced". Oddly enough.. I think ML researchers often do find little "tricks" that improve the performance of neural nets without being able to fully grasp how or why. It's somewhat similar to how we use and understand ADs. |
|
The difference between biomedical and electronic systems vanishes when you approach them from the same abstraction levels, where the complexity of the brain forces us to stand: either extremely high (clinical/GUI) or extremely low (drugs/'therapeutic' machine code).
My understanding of brain is on par with that most of HW audience has about computers and vice-versa. So, as you correctly thought, the intent was to brigde this gap. Another analogy I like is, treating brain diseases with drugs is like repairing a car by spraying chemicals.