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-cv_bandwidth_ratio")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.966
2
.963
3
.961
4
.962
5
.961
6
.960
7
.961
8
.961
9
.959
10
.955
11
.950
12
.949
13
.947
14
.947
15
.944
16
.943
17
.943
18
.941
19
.941
20
.939
21
.942
22
.940
23
.940
24
.939
25
.939
26
.939
27
.939
28
.937
29
.937
30
.936
31
.935
32
.935
33
.934
34
.933
35
.931
36
.931
37
.931
38
.929
39
.927
40
.926
41
.925
42
.926
43
.926
44
.924
45
.924
46
.923
47
.921
48
.922
49
.921
50
.921
51
.922
52
.921
53
.921
54
.920
55
.920
56
.921
57
.920
58
.919
59
.920
60
.918
61
.919
62
.918
63
.919
64
.917
65
.916
66
.915
67
.914
68
.915
69
.914
70
.915
71
.914
72
.914
73
.915
74
.914
75
.913
76
.913
77
.912
78
.911
79
.911
80
.911
81
.909
82
.908
83
.906
84
.905
85
.905
86
.902
87
.903
88
.903
89
.902
90
.900
91
.899
92
.899
93
.898
94
.899
95
.897
96
.898
97
.898
98
.898
99
.898
100
.896
101
.897
102
.896
103
.894
104
.894
105
.894
106
.893
107
.893
108
.892
109
.891
110
.889
111
.889
112
.888
113
.888
114
.887
115
.886
116
.886
117
.884
118
.884
119
.884
120
.884
121
.883
122
.882
123
.882
124
.882
125
.881
126
.881
127
.880
128
.880
129
.879
130
.878
131
.878
132
.877
133
.876
134
.876
135
.875
136
.876
137
.876
138
.873
139
.873
140
.872
141
.871
142
.871
143
.872
144
.872
145
.871
146
.870
147
.870
148
.869
149
.870
150
.869
151
.869
152
.869
153
.869
154
.869
155
.868
156
.868
157
.868
158
.868
159
.868
160
.868
161
.866
162
.866
163
.863
164
.863
165
.862
166
.861
167
.861
168
.860
169
.859
170
.859
171
.856
172
.854
173
.853
174
.853
175
.853
176
.851
177
.849
178
.848
179
.847
180
.847
181
.843
182
.843
183
.842
184
.843
185
.839
186
.838
187
.837
188
.836
189
.835
190
.834
191
.833
192
.833
193
.830
194
.830
195
.829
196
.829
197
.829
198
.827
199
.827
200
.826
201
.821
202
.821
203
.821
204
.819
205
.819
206
.818
207
.819
208
.817
209
.816
210
.814
211
.813
212
.814
213
.811
214
.810
215
.809
216
.808
217
.806
218
.804
219
.805
220
.805
221
.802
222
.801
223
.800
224
.800
225
.797
226
.797
227
.797
228
.796
229
.794
230
.793
231
.792
232
.789
233
.789
234
.787
235
.787
236
.786
237
.785
238
.781
239
.778
240
.778
241
.776
242
.775
243
.773
244
.772
245
.771
246
.769
247
.767
248
.766
249
.764
250
.763
251
.761
252
.761
253
.757
254
.757
255
.755
256
.746
257
.746
258
.746
259
.746
260
.745
261
.746
262
.745
263
.745
264
.745
265
.745
266
.745
267
.745
268
.742
269
.742
270
.741
271
.738
272
.737
273
.736
274
.734
275
.733
276
.732
277
.731
278
.724
279
.722
280
.720
281
.715
282
.712
283
.712
284
.710
285
.710
286
.707
287
.707
288
.706
289
.707
290
.705
291
.705
292
.705
293
.704
294
.700
295
.696
296
.693
297
.690
298
.688
299
.688
300
.688
301
.687
302
.685
303
.684
304
.684
305
.682
306
.681
307
.680
308
.679
309
.678
310
.677
311
.677
312
.677
313
.677
314
.677
315
.676
316
.672
317
.670
318
.669
319
.667
320
.667
321
.667
322
.665
323
.665
324
.665
325
.664
326
.664
327
.663
328
.661
329
.661
330
.661
331
.658
332
.655
333
.652
334
.650
335
.646
336
.646
337
.644
338
.644
339
.643
340
.636
341
.635
342
.633
343
.631
344
.632
345
.616
346
.597
347
.593
348
.590
349
.561
350
.507
351
.491
352
.333
353
.333
354
.288
355
.288
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

None

Ceiling

0.97.

Note that scores are relative to this ceiling.

Data: Marques2020_Ringach2002

Metric: cv_bandwidth_ratio