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
.943
17
.942
18
.941
19
.942
20
.941
21
.934
22
.935
23
.931
24
.932
25
.931
26
.925
27
.924
28
.923
29
.921
30
.920
31
.920
32
.921
33
.915
34
.913
35
.913
36
.911
37
.911
38
.913
39
.910
40
.909
41
.909
42
.909
43
.908
44
.908
45
.907
46
.908
47
.904
48
.905
49
.906
50
.904
51
.904
52
.904
53
.906
54
.904
55
.903
56
.904
57
.902
58
.901
59
.902
60
.898
61
.897
62
.894
63
.894
64
.894
65
.890
66
.892
67
.892
68
.891
69
.892
70
.890
71
.888
72
.889
73
.888
74
.888
75
.884
76
.883
77
.881
78
.879
79
.877
80
.875
81
.876
82
.875
83
.876
84
.875
85
.874
86
.872
87
.870
88
.869
89
.866
90
.866
91
.865
92
.864
93
.863
94
.864
95
.863
96
.862
97
.859
98
.855
99
.853
100
.854
101
.853
102
.853
103
.849
104
.847
105
.847
106
.845
107
.844
108
.841
109
.842
110
.841
111
.838
112
.838
113
.836
114
.837
115
.836
116
.835
117
.834
118
.831
119
.831
120
.831
121
.830
122
.827
123
.826
124
.826
125
.827
126
.824
127
.824
128
.823
129
.821
130
.822
131
.820
132
.821
133
.820
134
.818
135
.818
136
.818
137
.817
138
.816
139
.814
140
.812
141
.812
142
.812
143
.809
144
.808
145
.809
146
.808
147
.808
148
.808
149
.806
150
.805
151
.805
152
.805
153
.804
154
.800
155
.797
156
.798
157
.797
158
.796
159
.796
160
.794
161
.792
162
.793
163
.792
164
.792
165
.791
166
.789
167
.788
168
.789
169
.788
170
.785
171
.784
172
.784
173
.783
174
.782
175
.780
176
.780
177
.779
178
.778
179
.777
180
.777
181
.778
182
.777
183
.776
184
.776
185
.772
186
.773
187
.769
188
.768
189
.765
190
.765
191
.766
192
.766
193
.765
194
.765
195
.762
196
.762
197
.763
198
.762
199
.761
200
.761
201
.762
202
.761
203
.760
204
.760
205
.759
206
.758
207
.757
208
.757
209
.757
210
.756
211
.755
212
.754
213
.753
214
.753
215
.755
216
.752
217
.752
218
.752
219
.748
220
.749
221
.747
222
.748
223
.744
224
.743
225
.743
226
.741
227
.742
228
.741
229
.740
230
.738
231
.738
232
.740
233
.738
234
.738
235
.738
236
.737
237
.738
238
.735
239
.736
240
.735
241
.735
242
.734
243
.733
244
.733
245
.734
246
.731
247
.729
248
.727
249
.726
250
.726
251
.725
252
.724
253
.724
254
.724
255
.724
256
.724
257
.724
258
.724
259
.723
260
.724
261
.724
262
.723
263
.723
264
.724
265
.721
266
.720
267
.718
268
.719
269
.718
270
.718
271
.717
272
.716
273
.717
274
.716
275
.716
276
.715
277
.715
278
.715
279
.712
280
.712
281
.711
282
.711
283
.709
284
.705
285
.705
286
.705
287
.704
288
.703
289
.703
290
.700
291
.698
292
.698
293
.697
294
.694
295
.694
296
.694
297
.692
298
.687
299
.685
300
.681
301
.679
302
.679
303
.679
304
.674
305
.673
306
.667
307
.667
308
.667
309
.668
310
.665
311
.656
312
.650
313
.644
314
.640
315
.640
316
.639
317
.628
318
.613
319
.609
320
.601
321
.586
322
.584
323
.571
324
.572
325
.568
326
.568
327
.567
328
.565
329
.542
330
.536
331
.527
332
.511
333
.503
334
.497
335
.494
336
.491
337
.452
338
.418
339
.399
340
.398
341
.397
342
.397
343
.397
344
.393
345
.393
346
.393
347
.354
348
.352
349
.319
350
.114
351
.021
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378

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