[HN Gopher] Deep language algorithms predict semantic comprehens... ___________________________________________________________________ Deep language algorithms predict semantic comprehension from brain activity Author : piecerough Score : 6 points Date : 2022-10-13 22:27 UTC (33 minutes ago) (HTM) web link (www.nature.com) (TXT) w3m dump (www.nature.com) | _s_a_m_ wrote: | This is so bizarr, I wouldn't even know how to inspect, verify | and critique the claims made. Also there is no subject in such | simple algorithms, very relaxed use of big words. | piecerough wrote: | Here, we show that the representations of GPT-2 not only map onto | the brain responses to spoken stories, but they also predict the | extent to which subjects understand the corresponding narratives. | To this end, we analyze 101 subjects recorded with functional | Magnetic Resonance Imaging while listening to 70 min of short | stories. We then fit a linear mapping model to predict brain | activity from GPT-2's activations. Finally, we show that this | mapping reliably correlates (R=0.50,p<10-15) with subjects' | comprehension scores as assessed for each story. ___________________________________________________________________ (page generated 2022-10-13 23:00 UTC)