[HN Gopher] Deep language algorithms predict semantic comprehens...
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       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.
        
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       (page generated 2022-10-13 23:00 UTC)