Sample stimuli

sample 0 sample 1 sample 2 sample 3 sample 4 sample 5 sample 6 sample 7 sample 8 sample 9

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Marques2020_FreemanZiemba2013-max_noise")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.988
2
.984
3
.979
4
.974
5
.967
6
.967
7
.965
8
.965
9
.962
10
.961
11
.960
12
.960
13
.958
14
.960
15
.959
16
.955
17
.956
18
.953
19
.952
20
.948
21
.946
22
.943
23
.942
24
.941
25
.942
26
.941
27
.936
28
.934
29
.935
30
.931
31
.932
32
.931
33
.927
34
.929
35
.925
36
.924
37
.924
38
.923
39
.921
40
.920
41
.920
42
.921
43
.915
44
.914
45
.914
46
.914
47
.913
48
.913
49
.911
50
.911
51
.911
52
.913
53
.910
54
.910
55
.909
56
.909
57
.909
58
.908
59
.908
60
.907
61
.908
62
.904
63
.905
64
.906
65
.904
66
.904
67
.904
68
.906
69
.904
70
.903
71
.904
72
.902
73
.901
74
.902
75
.898
76
.897
77
.898
78
.894
79
.895
80
.894
81
.894
82
.890
83
.892
84
.892
85
.891
86
.892
87
.890
88
.888
89
.889
90
.889
91
.888
92
.888
93
.886
94
.884
95
.883
96
.882
97
.881
98
.880
99
.882
100
.879
101
.879
102
.877
103
.875
104
.876
105
.875
106
.876
107
.876
108
.876
109
.875
110
.874
111
.872
112
.870
113
.869
114
.866
115
.866
116
.865
117
.864
118
.863
119
.864
120
.863
121
.862
122
.859
123
.859
124
.855
125
.853
126
.854
127
.853
128
.853
129
.851
130
.849
131
.849
132
.847
133
.847
134
.845
135
.844
136
.841
137
.842
138
.841
139
.839
140
.838
141
.838
142
.836
143
.837
144
.836
145
.835
146
.834
147
.831
148
.831
149
.831
150
.831
151
.830
152
.827
153
.826
154
.826
155
.827
156
.824
157
.824
158
.823
159
.821
160
.822
161
.820
162
.821
163
.820
164
.818
165
.818
166
.818
167
.817
168
.816
169
.814
170
.812
171
.812
172
.812
173
.809
174
.808
175
.809
176
.808
177
.808
178
.808
179
.808
180
.806
181
.805
182
.805
183
.805
184
.804
185
.801
186
.800
187
.797
188
.798
189
.797
190
.796
191
.796
192
.794
193
.792
194
.793
195
.792
196
.792
197
.791
198
.789
199
.788
200
.789
201
.788
202
.785
203
.784
204
.784
205
.783
206
.782
207
.780
208
.780
209
.779
210
.778
211
.777
212
.777
213
.778
214
.777
215
.776
216
.776
217
.775
218
.772
219
.773
220
.773
221
.769
222
.768
223
.765
224
.765
225
.766
226
.766
227
.765
228
.765
229
.762
230
.762
231
.763
232
.762
233
.761
234
.761
235
.762
236
.760
237
.761
238
.760
239
.760
240
.759
241
.758
242
.757
243
.757
244
.757
245
.756
246
.755
247
.754
248
.753
249
.753
250
.755
251
.752
252
.752
253
.752
254
.754
255
.748
256
.749
257
.747
258
.748
259
.744
260
.743
261
.741
262
.742
263
.741
264
.740
265
.741
266
.738
267
.738
268
.740
269
.739
270
.738
271
.738
272
.738
273
.737
274
.738
275
.735
276
.736
277
.735
278
.735
279
.734
280
.734
281
.733
282
.733
283
.734
284
.731
285
.731
286
.729
287
.727
288
.726
289
.726
290
.725
291
.724
292
.724
293
.723
294
.724
295
.724
296
.723
297
.724
298
.721
299
.720
300
.718
301
.719
302
.718
303
.718
304
.717
305
.716
306
.717
307
.716
308
.716
309
.715
310
.715
311
.715
312
.713
313
.712
314
.712
315
.711
316
.711
317
.709
318
.705
319
.705
320
.706
321
.705
322
.704
323
.705
324
.706
325
.704
326
.704
327
.703
328
.703
329
.700
330
.700
331
.700
332
.698
333
.698
334
.697
335
.694
336
.694
337
.694
338
.692
339
.687
340
.685
341
.681
342
.679
343
.679
344
.679
345
.674
346
.673
347
.667
348
.667
349
.667
350
.668
351
.665
352
.665
353
.665
354
.650
355
.646
356
.644
357
.640
358
.640
359
.639
360
.628
361
.628
362
.613
363
.609
364
.601
365
.586
366
.584
367
.578
368
.571
369
.572
370
.568
371
.568
372
.567
373
.565
374
.559
375
.557
376
.557
377
.555
378
.552
379
.542
380
.536
381
.527
382
.511
383
.503
384
.497
385
.491
386
.452
387
.418
388
.399
389
.398
390
.397
391
.397
392
.397
393
.393
394
.393
395
.393
396
.393
397
.352
398
.319
399
.114
400
.021
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432

Benchmark bibtex

@article{Freeman2013,
            author = {Freeman, Jeremy and Ziemba, Corey M. and Heeger, David J. and Simoncelli, E. P. and Movshon, J. A.},
            doi = {10.1038/nn.3402},
            issn = {10976256},
            journal = {Nature Neuroscience},
            number = {7},
            pages = {974--981},
            pmid = {23685719},
            publisher = {Nature Publishing Group},
            title = {{A functional and perceptual signature of the second visual area in primates}},
            url = {http://dx.doi.org/10.1038/nn.3402},
            volume = {16},
            year = {2013}
            }
            

Ceiling

0.95.

Note that scores are relative to this ceiling.

Data: Marques2020_FreemanZiemba2013

Metric: max_noise