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_Cavanaugh2002-surround_diameter")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.983
2
.968
3
.964
4
.953
5
.948
6
.940
7
.938
8
.932
9
.926
10
.922
11
.919
12
.920
13
.899
14
.887
15
.871
16
.870
17
.863
18
.863
19
.857
20
.848
21
.848
22
.847
23
.847
24
.844
25
.839
26
.838
27
.834
28
.834
29
.832
30
.829
31
.828
32
.827
33
.824
34
.822
35
.820
36
.815
37
.810
38
.808
39
.807
40
.807
41
.805
42
.795
43
.794
44
.793
45
.794
46
.794
47
.789
48
.789
49
.785
50
.782
51
.781
52
.780
53
.779
54
.775
55
.770
56
.768
57
.767
58
.765
59
.765
60
.764
61
.762
62
.759
63
.756
64
.756
65
.754
66
.754
67
.753
68
.752
69
.751
70
.752
71
.752
72
.751
73
.749
74
.749
75
.748
76
.747
77
.747
78
.747
79
.748
80
.747
81
.748
82
.747
83
.747
84
.747
85
.746
86
.744
87
.742
88
.743
89
.742
90
.743
91
.743
92
.742
93
.742
94
.740
95
.740
96
.740
97
.738
98
.737
99
.736
100
.736
101
.736
102
.736
103
.738
104
.737
105
.735
106
.738
107
.736
108
.737
109
.736
110
.737
111
.737
112
.736
113
.736
114
.737
115
.736
116
.736
117
.735
118
.736
119
.735
120
.735
121
.734
122
.733
123
.732
124
.729
125
.728
126
.727
127
.726
128
.725
129
.723
130
.719
131
.719
132
.713
133
.710
134
.711
135
.702
136
.691
137
.688
138
.689
139
.686
140
.681
141
.680
142
.679
143
.680
144
.677
145
.674
146
.669
147
.664
148
.664
149
.664
150
.658
151
.658
152
.658
153
.652
154
.635
155
.632
156
.627
157
.628
158
.626
159
.624
160
.624
161
.622
162
.621
163
.620
164
.619
165
.613
166
.611
167
.610
168
.609
169
.609
170
.603
171
.601
172
.601
173
.598
174
.597
175
.595
176
.592
177
.589
178
.588
179
.587
180
.584
181
.582
182
.580
183
.578
184
.578
185
.573
186
.567
187
.562
188
.557
189
.556
190
.555
191
.555
192
.554
193
.551
194
.550
195
.547
196
.546
197
.545
198
.543
199
.541
200
.537
201
.534
202
.532
203
.531
204
.525
205
.525
206
.521
207
.519
208
.518
209
.517
210
.518
211
.516
212
.515
213
.512
214
.509
215
.507
216
.506
217
.505
218
.504
219
.503
220
.502
221
.498
222
.497
223
.496
224
.494
225
.494
226
.493
227
.493
228
.491
229
.492
230
.489
231
.488
232
.485
233
.481
234
.480
235
.477
236
.476
237
.471
238
.470
239
.467
240
.466
241
.462
242
.451
243
.448
244
.447
245
.442
246
.440
247
.440
248
.433
249
.427
250
.426
251
.426
252
.425
253
.423
254
.423
255
.423
256
.420
257
.418
258
.418
259
.417
260
.417
261
.414
262
.414
263
.411
264
.410
265
.410
266
.409
267
.408
268
.404
269
.404
270
.404
271
.404
272
.403
273
.402
274
.399
275
.397
276
.398
277
.397
278
.396
279
.394
280
.395
281
.394
282
.394
283
.394
284
.392
285
.392
286
.390
287
.389
288
.390
289
.389
290
.389
291
.389
292
.389
293
.390
294
.390
295
.390
296
.390
297
.390
298
.389
299
.389
300
.390
301
.390
302
.389
303
.389
304
.390
305
.389
306
.389
307
.390
308
.390
309
.389
310
.389
311
.389
312
.389
313
.390
314
.389
315
.389
316
.389
317
.389
318
.390
319
.389
320
.389
321
.390
322
.389
323
.390
324
.389
325
.390
326
.389
327
.389
328
.389
329
.389
330
.389
331
.389
332
.389
333
.388
334
.388
335
.389
336
.389
337
.389
338
.389
339
.389
340
.389
341
.388
342
.389
343
.389
344
.388
345
.388
346
.389
347
.388
348
.388
349
.388
350
.388
351
.387
352
.387
353
.387
354
.387
355
.387
356
.387
357
.386
358
.386
359
.385
360
.385
361
.384
362
.384
363
.382
364
.379
365
.374
366
.369
367
.368
368
.363
369
.361
370
.358
371
.355
372
.344
373
.336
374
.334
375
.329
376
.328
377
.324
378
.322
379
.319
380
.314
381
.314
382
.312
383
.311
384
.311
385
.311
386
.306
387
.305
388
.303
389
.297
390
.295
391
.288
392
.281
393
.280
394
.276
395
.273
396
.271
397
.269
398
.265
399
.260
400
.257
401
.255
402
.247
403
.245
404
.237
405
.231
406
.222
407
.217
408
.217
409
.198
410
.197
411
.190
412
.188
413
.177
414
.160
415
.156
416
.156
417
.156
418
.156
419
.156
420
.156
421
.156
422
.154
423
.028
424
.000
425
.000
426
.000
427
.000
428
.000
429
.000
430
.000
431
.000
432
.000
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458

Benchmark bibtex

@article{Cavanaugh2002,
            author = {Cavanaugh, James R. and Bair, Wyeth and Movshon, J. A.},
            doi = {10.1152/jn.00692.2001},
            isbn = {0022-3077 (Print) 0022-3077 (Linking)},
            issn = {0022-3077},
            journal = {Journal of Neurophysiology},
            mendeley-groups = {Benchmark effects/Done,Benchmark effects/*Surround Suppression},
            number = {5},
            pages = {2530--2546},
            pmid = {12424292},
            title = {{Nature and Interaction of Signals From the Receptive Field Center and Surround in Macaque V1 Neurons}},
            url = {http://www.physiology.org/doi/10.1152/jn.00692.2001},
            volume = {88},
            year = {2002}
            }
            

Ceiling

0.95.

Note that scores are relative to this ceiling.

Data: Marques2020_Cavanaugh2002

Metric: surround_diameter