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
.894
64
.894
65
.894
66
.890
67
.892
68
.892
69
.891
70
.892
71
.890
72
.888
73
.889
74
.888
75
.888
76
.884
77
.883
78
.881
79
.879
80
.877
81
.875
82
.876
83
.875
84
.876
85
.875
86
.874
87
.872
88
.870
89
.869
90
.866
91
.866
92
.865
93
.864
94
.863
95
.864
96
.863
97
.862
98
.859
99
.855
100
.853
101
.854
102
.853
103
.853
104
.849
105
.847
106
.847
107
.845
108
.844
109
.841
110
.842
111
.841
112
.838
113
.838
114
.836
115
.837
116
.836
117
.835
118
.834
119
.831
120
.831
121
.831
122
.830
123
.827
124
.826
125
.826
126
.827
127
.824
128
.824
129
.823
130
.821
131
.822
132
.820
133
.821
134
.820
135
.818
136
.818
137
.818
138
.817
139
.816
140
.814
141
.812
142
.812
143
.812
144
.809
145
.808
146
.809
147
.808
148
.808
149
.808
150
.806
151
.805
152
.805
153
.805
154
.804
155
.800
156
.797
157
.798
158
.797
159
.796
160
.796
161
.794
162
.792
163
.793
164
.792
165
.792
166
.791
167
.789
168
.788
169
.789
170
.788
171
.785
172
.784
173
.784
174
.783
175
.782
176
.780
177
.780
178
.779
179
.778
180
.777
181
.777
182
.778
183
.777
184
.776
185
.776
186
.772
187
.773
188
.769
189
.768
190
.765
191
.765
192
.766
193
.766
194
.765
195
.765
196
.762
197
.762
198
.763
199
.762
200
.761
201
.761
202
.762
203
.760
204
.761
205
.760
206
.760
207
.759
208
.758
209
.757
210
.757
211
.757
212
.756
213
.755
214
.754
215
.753
216
.753
217
.755
218
.752
219
.752
220
.752
221
.748
222
.749
223
.747
224
.748
225
.744
226
.743
227
.743
228
.741
229
.742
230
.741
231
.740
232
.738
233
.738
234
.740
235
.738
236
.738
237
.738
238
.737
239
.738
240
.735
241
.736
242
.735
243
.735
244
.734
245
.733
246
.733
247
.734
248
.731
249
.729
250
.727
251
.726
252
.726
253
.725
254
.724
255
.724
256
.724
257
.724
258
.724
259
.724
260
.724
261
.724
262
.723
263
.724
264
.724
265
.723
266
.723
267
.724
268
.721
269
.720
270
.718
271
.719
272
.718
273
.718
274
.717
275
.716
276
.717
277
.716
278
.716
279
.715
280
.715
281
.715
282
.712
283
.712
284
.711
285
.711
286
.709
287
.705
288
.705
289
.705
290
.704
291
.703
292
.703
293
.700
294
.700
295
.698
296
.698
297
.697
298
.694
299
.694
300
.694
301
.692
302
.687
303
.685
304
.681
305
.679
306
.679
307
.679
308
.674
309
.673
310
.667
311
.667
312
.667
313
.668
314
.665
315
.665
316
.656
317
.650
318
.646
319
.644
320
.640
321
.640
322
.639
323
.628
324
.628
325
.613
326
.609
327
.601
328
.586
329
.584
330
.571
331
.572
332
.568
333
.568
334
.567
335
.565
336
.559
337
.557
338
.542
339
.536
340
.527
341
.511
342
.503
343
.497
344
.494
345
.491
346
.452
347
.418
348
.399
349
.398
350
.397
351
.397
352
.397
353
.393
354
.393
355
.393
356
.354
357
.352
358
.319
359
.114
360
.021
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387

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