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-grating_summation_field")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.986
2
.984
3
.972
4
.972
5
.970
6
.968
7
.970
8
.970
9
.965
10
.964
11
.963
12
.940
13
.939
14
.938
15
.939
16
.932
17
.931
18
.927
19
.926
20
.926
21
.925
22
.924
23
.925
24
.925
25
.925
26
.924
27
.925
28
.916
29
.916
30
.914
31
.914
32
.911
33
.908
34
.905
35
.903
36
.900
37
.899
38
.900
39
.897
40
.895
41
.895
42
.887
43
.885
44
.882
45
.877
46
.878
47
.877
48
.876
49
.874
50
.872
51
.870
52
.870
53
.869
54
.869
55
.869
56
.868
57
.865
58
.863
59
.861
60
.859
61
.857
62
.855
63
.854
64
.853
65
.852
66
.852
67
.851
68
.852
69
.849
70
.847
71
.845
72
.844
73
.842
74
.841
75
.840
76
.841
77
.836
78
.836
79
.837
80
.834
81
.833
82
.831
83
.830
84
.830
85
.828
86
.827
87
.826
88
.826
89
.825
90
.825
91
.823
92
.821
93
.820
94
.818
95
.818
96
.815
97
.815
98
.815
99
.816
100
.815
101
.814
102
.812
103
.813
104
.807
105
.807
106
.803
107
.801
108
.801
109
.799
110
.800
111
.798
112
.798
113
.796
114
.796
115
.792
116
.792
117
.793
118
.792
119
.787
120
.788
121
.783
122
.780
123
.777
124
.772
125
.772
126
.771
127
.771
128
.770
129
.770
130
.770
131
.769
132
.769
133
.765
134
.764
135
.763
136
.761
137
.761
138
.761
139
.760
140
.760
141
.758
142
.757
143
.757
144
.756
145
.756
146
.755
147
.756
148
.755
149
.752
150
.752
151
.752
152
.751
153
.752
154
.747
155
.746
156
.747
157
.746
158
.746
159
.744
160
.742
161
.738
162
.733
163
.731
164
.731
165
.730
166
.730
167
.729
168
.729
169
.729
170
.728
171
.727
172
.726
173
.724
174
.722
175
.719
176
.719
177
.716
178
.712
179
.712
180
.713
181
.712
182
.711
183
.709
184
.709
185
.707
186
.708
187
.708
188
.706
189
.704
190
.704
191
.701
192
.701
193
.700
194
.697
195
.697
196
.694
197
.694
198
.692
199
.691
200
.689
201
.687
202
.687
203
.685
204
.685
205
.683
206
.680
207
.681
208
.678
209
.675
210
.672
211
.670
212
.668
213
.669
214
.667
215
.666
216
.664
217
.665
218
.664
219
.665
220
.665
221
.664
222
.664
223
.664
224
.664
225
.663
226
.664
227
.665
228
.664
229
.660
230
.658
231
.659
232
.658
233
.656
234
.656
235
.654
236
.652
237
.653
238
.652
239
.652
240
.651
241
.652
242
.650
243
.650
244
.648
245
.647
246
.648
247
.641
248
.641
249
.640
250
.638
251
.638
252
.636
253
.637
254
.636
255
.635
256
.635
257
.633
258
.632
259
.631
260
.628
261
.626
262
.624
263
.625
264
.625
265
.623
266
.622
267
.618
268
.616
269
.616
270
.616
271
.616
272
.615
273
.615
274
.614
275
.612
276
.610
277
.610
278
.609
279
.609
280
.608
281
.608
282
.607
283
.606
284
.605
285
.604
286
.603
287
.602
288
.598
289
.596
290
.595
291
.592
292
.591
293
.592
294
.592
295
.591
296
.590
297
.586
298
.585
299
.584
300
.584
301
.585
302
.579
303
.579
304
.578
305
.574
306
.570
307
.570
308
.567
309
.565
310
.566
311
.553
312
.552
313
.552
314
.545
315
.542
316
.541
317
.535
318
.532
319
.530
320
.529
321
.528
322
.524
323
.523
324
.523
325
.518
326
.518
327
.518
328
.513
329
.513
330
.512
331
.510
332
.509
333
.509
334
.508
335
.496
336
.494
337
.489
338
.486
339
.484
340
.481
341
.481
342
.479
343
.479
344
.479
345
.478
346
.476
347
.470
348
.468
349
.465
350
.462
351
.462
352
.460
353
.457
354
.453
355
.452
356
.451
357
.451
358
.449
359
.450
360
.442
361
.437
362
.433
363
.430
364
.424
365
.419
366
.413
367
.412
368
.404
369
.401
370
.398
371
.392
372
.387
373
.381
374
.382
375
.371
376
.370
377
.363
378
.361
379
.361
380
.361
381
.359
382
.359
383
.357
384
.355
385
.344
386
.342
387
.341
388
.331
389
.328
390
.323
391
.316
392
.315
393
.313
394
.306
395
.305
396
.281
397
.277
398
.277
399
.276
400
.275
401
.276
402
.276
403
.276
404
.275
405
.268
406
.260
407
.198
408
.195
409
.172
410
.170
411
.163
412
.162
413
.159
414
.156
415
.151
416
.140
417
.140
418
.128
419
.118
420
.085
421
.085
422
.085
423
.085
424
.064
425
.000
426
.000
427
.000
428
.000
429
.000
430
.000
431
.000
432
.000
433
.000
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: grating_summation_field