144 karma · joined June 23, 2011
In general, I think a neuroscientist would be a distraction to any ML team. I don't mean to say that neuroscience is what drives ML insight, but if asked to pick which field influences the other most, my choice is clear.
Artificial neural networks do not teach us about biological neural networks, or 'Neuronal Networks', a term reluctantly used by a close neuroscientist for contradistinction. We don't need Google's cat research, but Hubel and Wiesel's cat research.
Let's see: Cheap reference to Kant, check. Vague parallel to the Sapir-Whorf hypothesis, check.
The 'intriguing' mapping that involves 3 ML terms is desperate.
This article appearing on the front page of HN shows how delusional some of today's ML lovers are with respect to neuroscience, the discipline that actually studies human brains.