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=====Introduction=====
Synthetic face stimuli were created using the [[http://www.genemation.com/new_pages/genhead_about.cfm|GenHead]] software package. The 50 male and 50 female faces were then used during an fMRI study. A binary attractiveness decision (hot or not) was obtained during scanning. These stimuli were also rated using a 1-10 Likert scale in a separate study.

  * A Chatterjee, A Thomas, S Smith, GK Aguirre. (2009) [[http://www.ncbi.nlm.nih.gov/sites/entrez?Db=pubmed&Cmd=ShowDetailView&TermToSearch=19254086|The Neural Response to Facial Beauty.]] //Neuropsychology//. 23(2), 135-43.
=====Download the stimuli=====
The stimuli are available for download from our Public FTP site. They are in TIFF format.

|[[http://www.cfn.upenn.edu/aguirre/public/stimuli/FacesWithBeautyRatings.zip/|Download Face stimuli (zip file)]]|

=====Attractiveness ratings=====
The table below provides the average (z-transformed) Likert scale rating across 10 subjects for the faces:

<code=MATLAB - LikertFaceAttractivenessRatings.txt>
female1	-0.367085683775171
female2	0.70106972290139
female3	-0.304935148862754
female4	-0.4138276392225
female5	0.612851578123256
female6	-0.0137519183733114
female7	0.0948483417799266
female8	-0.0604373202063585
female9	-0.322475433830697
female10	-0.664786050766427
female11	-0.874142343455314
female12	-0.46358034011358
female13	-0.556640029856578
female14	0.22567861930596
female15	0.28679369667795
female16	0.0399406188723651
female17	0.0365532770386634
female18	-0.026498015385061
female19	0.00936505916466125
female20	-0.658870800505698
female21	0.0484013089985317
female22	-0.971629158621459
female23	-0.186520615832416
female24	-0.168024807468405
female25	-1.26266182432868
female26	0.0593569830060863
female27	0.194920975600492
female28	0.0703696952670309
female29	-0.253744558940492
female30	0.889107785194171
female31	0.588030268054059
female32	-0.246048513724605
female33	0.815851152361329
female34	0.753381555223389
female35	0.0611605348832372
female36	-0.0298639351450206
female37	-0.215883702216737
female38	-0.521639407134884
female39	0.576544641461528
female40	-0.0286270315524159
female41	0.686797731766208
female42	-0.230835054796237
female43	-0.67398786825846
female44	0.369198601001373
female45	0.182561944796015
female46	0.038082483756189
female47	-0.676396530658537
female48	0.466335412937855
female49	-0.254145567072419
female50	0.975704161236872
male1	-0.560757191523586
male2	-0.585512301352353
male3	0.29640099105593
male4	0.541460614428236
male5	-0.00412283229077265
male6	-0.430997605881377
male7	-0.0295873390522227
male8	0.0350340232615581
male9	-0.149654786952899
male10	0.480555445671619
male11	-0.187045553577454
male12	-0.36733969816417
male13	-0.312821226108695
male14	-0.617100187925519
male15	-0.085183333256648
male16	0.133634827037745
male17	0.175381476176828
male18	0.247465036312275
male19	-0.016466872769209
male20	-0.0718178920379168
male21	0.518211895427172
male22	0.436943192423654
male23	0.634736935173364
male24	0.405641584431865
male25	-0.484143428320418
male26	0.856020599067996
male27	0.0692864930516723
male28	0.0160376727497394
male29	0.528465336263858
male30	-0.670782095949616
male31	0.0965734605031375
male32	0.103757896005827
male33	0.435539091094812
male34	0.0492132143711499
male35	-0.489710853047869
male36	0.186424671106987
male37	0.0901383744310572
male38	0.798121171922213
male39	0.628909769096742
male40	0.161606777055691
male41	0.255395303862297
male42	0.238393306688938
male43	-0.58868494265649
male44	0.309471956732557
male45	-0.474419939046872
male46	-0.476155280769133
male47	-0.938713159643144
male48	-1.01096894957659
male49	0.635727222067289
male50	-0.0952540603337799
</code>
aguirreg

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