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graphe | 1 year ago
The approach is relatively straightforward. The team began by using a computer program to recreate the network that mushroom bodies rely on — a number of projection neurons feeding data to about 2,000 Kenyon cells. The team then trained the network to recognize the correlations between words in the text.
The task is based on the idea that a word can be characterized by it its context, or the other words that usually appear near it. The idea is to start with a corpus of text and then, for each word, to analyze those words that appear before and after it.
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