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Thought I'd do another ten papers thing, this time of psychology papers I've really enjoyed from 2020. Absurd to choose only ten of course but here goes... 
1/11
1/11
#1 @markSchurgin, Wixted & @timothyfbrady. Psychophysical scaling reveals a unified theory of visual memory strength https://www.nature.com/articles/s41562-020-00938-0 -- clearly a landmark paper, and as a bonus comes with an incredibly helpful interactive tutorial https://bradylab.ucsd.edu/tcc/ 2/11
#2 @TeresaSchubert et al. Lack of awareness despite complex visual processing: Evidence from event-related potentials in a case of selective metamorphopsia. Amazing case study, including evidence of face & word identity processing without awareness https://www.pnas.org/content/117/27/16055 3/11
#3 @AlexSilverLevy et al. When Not Choosing Leads to Not Liking: Choice-Induced Preference in Infancy. Beautifully simple paradigm showing how infants’ arbitrary choices shape their future preferences. https://journals.sagepub.com/doi/10.1177/0956797620954491 4/11
#4 @asbear91, Samantha Bensinger, @JaraEttinger, @xphilosopher and @fierycushman. What comes to mind? A super elegant account of what pops into your mind when asked to think of a category instance https://philpapers.org/rec/BEAWCT 5/11
#5 @urrational & Hanna Pickard. Chasing the first high: Memory sampling in drug choice. Yes, breaking the no-family rule, but such an interesting paper connecting computational models of memory sampling w/ a notorious feature of drug use & addiction. https://www.nature.com/articles/s41386-019-0594-2 6/11
#6 @MatthiasMichel_ & @meganakpeters. Confirmation bias without rhyme or reason. Could have been in my philosophy list too, but thought this was a lovely interdisciplinary paper drawing on visual psychophysics to explain puzzle of confirmation bias. https://link.springer.com/article/10.1007/s11229-020-02910-x 7/11
#7 @chazfirestone (he and his lab are on 
this year!) Performance vs. competence in human-machine comparisons. How to fairly compare humans and machines. Or: why AI should heed the lessons of classic comparative & developmental psych. https://www.pnas.org/content/117/43/26562 8/11
this year!) Performance vs. competence in human-machine comparisons. How to fairly compare humans and machines. Or: why AI should heed the lessons of classic comparative & developmental psych. https://www.pnas.org/content/117/43/26562 8/11
#8 Peter White. The perceived present: What is it and what is it there for? As ever with White's work, some of the most clear-headed and helpful stuff on time perception from an empirical perspective. https://link.springer.com/article/10.3758/s13423-020-01726-7 9/11
#9 @m_the_cohen et al. The limits of color awareness during active, real-world vision. Not sure I agree with the interpretation but this is really *cool* work on failures to notice massive losses of color during immerse VR. https://www.pnas.org/content/117/24/13821 10/11
#10 Miyoshi & @hakwanlau. A decision-congruent heuristic gives superior metacognitive sensitivity under realistic variance assumptions. So much great psychophys/metacog work this year, but I found this elegant paper really rewarding to work through https://psycnet.apa.org/record/2020-19427-001 11/11
