Scientists are gaining new insights into the human mind though artificial intelligence (AI), including the mechanism of communication between neurons, and the roots of cognition.
The University of California, Berkeley's Celeste Kidd and colleagues used a clustering model to find people's opinions tend to diverge about even the most fundamental properties of things.
Researchers led by Princeton University's Tatiana Engel used artificial neurons to interpret hundreds of neurons' electrical impulses in animals' brains simultaneously, then trained them to perform identical tasks.
These networks self-organize into reasonable approximations of those in animals, indicating dynamic electrical activity forms the substance of thought, according to Engel.
From The Wall Street Journal
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