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_Ringach2002-opr_cv_diff")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.991
2
.988
3
.989
4
.989
5
.987
6
.987
7
.987
8
.984
9
.981
10
.980
11
.978
12
.977
13
.978
14
.976
15
.976
16
.976
17
.973
18
.973
19
.972
20
.972
21
.971
22
.969
23
.968
24
.966
25
.965
26
.966
27
.965
28
.964
29
.964
30
.963
31
.962
32
.962
33
.960
34
.959
35
.958
36
.958
37
.957
38
.954
39
.952
40
.950
41
.949
42
.948
43
.948
44
.945
45
.944
46
.944
47
.943
48
.942
49
.942
50
.941
51
.941
52
.941
53
.940
54
.941
55
.940
56
.940
57
.940
58
.940
59
.939
60
.939
61
.937
62
.936
63
.935
64
.934
65
.935
66
.935
67
.934
68
.934
69
.934
70
.933
71
.933
72
.934
73
.933
74
.933
75
.932
76
.931
77
.930
78
.930
79
.930
80
.929
81
.929
82
.928
83
.927
84
.926
85
.926
86
.926
87
.926
88
.926
89
.924
90
.924
91
.924
92
.924
93
.924
94
.922
95
.921
96
.921
97
.920
98
.918
99
.920
100
.918
101
.919
102
.919
103
.919
104
.919
105
.918
106
.919
107
.918
108
.918
109
.917
110
.916
111
.916
112
.916
113
.915
114
.915
115
.915
116
.913
117
.911
118
.911
119
.910
120
.909
121
.909
122
.908
123
.908
124
.908
125
.908
126
.907
127
.907
128
.906
129
.904
130
.902
131
.901
132
.900
133
.900
134
.897
135
.898
136
.897
137
.896
138
.896
139
.895
140
.893
141
.894
142
.894
143
.892
144
.891
145
.891
146
.891
147
.889
148
.889
149
.888
150
.889
151
.886
152
.884
153
.884
154
.883
155
.882
156
.880
157
.878
158
.878
159
.878
160
.875
161
.875
162
.874
163
.874
164
.873
165
.870
166
.870
167
.870
168
.870
169
.869
170
.869
171
.864
172
.865
173
.865
174
.865
175
.865
176
.862
177
.862
178
.861
179
.861
180
.861
181
.860
182
.860
183
.859
184
.859
185
.858
186
.856
187
.856
188
.855
189
.855
190
.855
191
.855
192
.854
193
.852
194
.852
195
.850
196
.850
197
.850
198
.849
199
.848
200
.849
201
.848
202
.845
203
.845
204
.844
205
.842
206
.842
207
.840
208
.840
209
.839
210
.839
211
.836
212
.836
213
.835
214
.835
215
.834
216
.833
217
.833
218
.833
219
.831
220
.831
221
.831
222
.830
223
.830
224
.828
225
.826
226
.826
227
.825
228
.825
229
.822
230
.821
231
.820
232
.821
233
.820
234
.816
235
.813
236
.815
237
.814
238
.813
239
.812
240
.812
241
.811
242
.810
243
.810
244
.809
245
.808
246
.809
247
.808
248
.808
249
.808
250
.806
251
.806
252
.805
253
.803
254
.802
255
.802
256
.802
257
.800
258
.801
259
.801
260
.799
261
.797
262
.795
263
.796
264
.794
265
.792
266
.792
267
.791
268
.791
269
.789
270
.789
271
.787
272
.785
273
.783
274
.775
275
.775
276
.774
277
.774
278
.773
279
.772
280
.770
281
.769
282
.768
283
.764
284
.762
285
.760
286
.758
287
.757
288
.755
289
.751
290
.750
291
.745
292
.746
293
.742
294
.738
295
.736
296
.735
297
.734
298
.730
299
.727
300
.722
301
.721
302
.720
303
.720
304
.719
305
.715
306
.714
307
.713
308
.712
309
.710
310
.708
311
.703
312
.702
313
.700
314
.694
315
.693
316
.683
317
.680
318
.676
319
.663
320
.661
321
.635
322
.633
323
.629
324
.604
325
.563
326
.547
327
.546
328
.532
329
.521
330
.492
331
.487
332
.437
333
.419
334
.405
335
.398
336
.367
337
.349
338
.320
339
.265
340
X
341
X
342
X
343
X
344
X
345
X
346
X
347
X
348
X
349
X
350
X
351
X
352
X
353
X
354
X
355
X
356
X
357
X
358
X
359
X
360
X
361
X
362
X
363
X

Benchmark bibtex

None

Ceiling

0.97.

Note that scores are relative to this ceiling.

Data: Marques2020_Ringach2002

Metric: opr_cv_diff