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
.962
8
.960
9
.958
10
.960
11
.959
12
.955
13
.956
14
.952
15
.948
16
.946
17
.943
18
.942
19
.941
20
.942
21
.941
22
.934
23
.935
24
.931
25
.932
26
.931
27
.925
28
.924
29
.923
30
.921
31
.920
32
.920
33
.921
34
.915
35
.913
36
.913
37
.911
38
.911
39
.913
40
.910
41
.909
42
.909
43
.909
44
.908
45
.908
46
.907
47
.908
48
.904
49
.905
50
.906
51
.904
52
.904
53
.904
54
.906
55
.904
56
.903
57
.904
58
.902
59
.901
60
.902
61
.898
62
.897
63
.897
64
.894
65
.894
66
.894
67
.890
68
.892
69
.892
70
.891
71
.892
72
.890
73
.888
74
.889
75
.889
76
.888
77
.888
78
.886
79
.884
80
.883
81
.882
82
.881
83
.879
84
.877
85
.875
86
.876
87
.875
88
.876
89
.876
90
.875
91
.874
92
.872
93
.870
94
.869
95
.866
96
.866
97
.865
98
.864
99
.863
100
.864
101
.863
102
.862
103
.859
104
.855
105
.853
106
.854
107
.853
108
.853
109
.849
110
.847
111
.847
112
.845
113
.844
114
.841
115
.842
116
.841
117
.838
118
.838
119
.836
120
.837
121
.836
122
.835
123
.834
124
.831
125
.831
126
.831
127
.830
128
.827
129
.826
130
.826
131
.827
132
.824
133
.824
134
.823
135
.821
136
.822
137
.820
138
.821
139
.820
140
.818
141
.818
142
.818
143
.817
144
.816
145
.814
146
.812
147
.812
148
.812
149
.809
150
.808
151
.809
152
.808
153
.808
154
.808
155
.808
156
.806
157
.805
158
.805
159
.805
160
.804
161
.800
162
.797
163
.798
164
.797
165
.796
166
.796
167
.794
168
.792
169
.793
170
.792
171
.792
172
.791
173
.789
174
.788
175
.789
176
.788
177
.785
178
.784
179
.784
180
.783
181
.782
182
.780
183
.780
184
.779
185
.778
186
.777
187
.777
188
.778
189
.777
190
.776
191
.776
192
.772
193
.773
194
.769
195
.768
196
.765
197
.765
198
.766
199
.766
200
.765
201
.765
202
.762
203
.762
204
.763
205
.762
206
.761
207
.761
208
.762
209
.760
210
.761
211
.760
212
.760
213
.759
214
.758
215
.757
216
.757
217
.757
218
.756
219
.755
220
.754
221
.753
222
.753
223
.755
224
.752
225
.752
226
.752
227
.754
228
.748
229
.749
230
.747
231
.748
232
.744
233
.743
234
.743
235
.741
236
.742
237
.741
238
.740
239
.738
240
.738
241
.740
242
.738
243
.738
244
.738
245
.737
246
.738
247
.735
248
.736
249
.735
250
.735
251
.734
252
.734
253
.733
254
.733
255
.734
256
.731
257
.731
258
.729
259
.727
260
.726
261
.726
262
.725
263
.724
264
.724
265
.723
266
.724
267
.724
268
.723
269
.724
270
.721
271
.720
272
.718
273
.719
274
.718
275
.718
276
.717
277
.716
278
.717
279
.716
280
.716
281
.715
282
.715
283
.715
284
.713
285
.712
286
.712
287
.711
288
.711
289
.709
290
.705
291
.705
292
.706
293
.705
294
.704
295
.704
296
.703
297
.703
298
.700
299
.700
300
.700
301
.698
302
.698
303
.697
304
.694
305
.694
306
.694
307
.692
308
.687
309
.685
310
.681
311
.679
312
.679
313
.679
314
.674
315
.673
316
.667
317
.667
318
.667
319
.668
320
.665
321
.665
322
.665
323
.656
324
.650
325
.646
326
.644
327
.640
328
.640
329
.639
330
.628
331
.628
332
.613
333
.609
334
.601
335
.586
336
.584
337
.578
338
.571
339
.572
340
.568
341
.568
342
.567
343
.565
344
.559
345
.557
346
.552
347
.542
348
.536
349
.527
350
.511
351
.503
352
.497
353
.491
354
.452
355
.418
356
.399
357
.398
358
.397
359
.397
360
.397
361
.393
362
.393
363
.393
364
.393
365
.354
366
.352
367
.319
368
.114
369
.021
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397

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