2/ We identified what are the most important features of population tuning and trial-by-trial variability on encoded information and behavioral performance: population signal (PS) and projected precision (PP)
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We first derived these features analytically and then tested our predictions on four monkeys involving three different tasks and two different brain regions using a method based on statistical fluctuations by bootstrap.pic.twitter.com/jv9pMTrwo9
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While mean pairwise correlations and global activity of the network had no effect on encoded information, PS and PP had a great influence on it.pic.twitter.com/hSPOONAG7o
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Moreover, fluctuations of PS and PP had a greater and more consistent influence on behavioral performance than mean pairwise correlations and global activitypic.twitter.com/NtlyzNWsxS
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We also derived what are the effects of information-limiting correlations (differential correlations) on PS and PP. Finally, we reproduced these findings on a model that generated behavior by optimally reading out sensory neurons.
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Congratulations
@RNogueiraNeuro for this amazing work with -I believe- amazing results! And thanks to@JulioMTNeuro and Greg DeAngelis for letting us collaborating with their fantastic labs!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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