The most remarkable thing about the brain is that it wasn't designed. As a result, how the brain works is largely an irrelevant question.
People taking this out of context: I make no statement about the importance of neuroscience. "Relevance" here is wrt building AI algorithms.
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to be fair, for people from the neurocience world and unaware of the machine learning world, those tweets could sound like an attack to them
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to* (not "for")
End of conversation
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Beause Cognitive Neurosci is not just all about physical implementatinal analysis, your point is also important to the neurosci.
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You could have quoted Feynman: 'We don't need to study the neurologic minutiae of living things to produce intelligent machines'.
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View on concepts such as attention, memory?Their implementation can vary but the concepts in themselves help formulate the problem
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As neuroscience didn't figure out yet how the brain works, ML should focus on instrumentalist approaches as Vapnik had argued.
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Twitter hath no fury like a scientist scorned!
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Try mixing fewer sweeping generalizations with more supporting facts. And don't forget historical AI arrogance: http://www.wired.co.uk/article/predicting-artificial-intelligence …
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Don't get discouraged by the outrage, I think you are spot on with your point!
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And hence wrt how brain came to be all along. In the quest of the notion of intell., that statement has universal strength.
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