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-abs_texture_modulation_index")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.996
2
.992
3
.988
4
.969
5
.969
6
.964
7
.948
8
.947
9
.945
10
.945
11
.944
12
.943
13
.938
14
.931
15
.929
16
.926
17
.923
18
.922
19
.920
20
.916
21
.919
22
.912
23
.913
24
.913
25
.911
26
.909
27
.907
28
.905
29
.905
30
.904
31
.905
32
.900
33
.900
34
.899
35
.898
36
.892
37
.887
38
.886
39
.883
40
.877
41
.876
42
.866
43
.862
44
.860
45
.858
46
.853
47
.851
48
.851
49
.842
50
.831
51
.829
52
.824
53
.822
54
.807
55
.803
56
.788
57
.783
58
.783
59
.782
60
.779
61
.764
62
.762
63
.762
64
.758
65
.756
66
.752
67
.749
68
.738
69
.738
70
.736
71
.734
72
.728
73
.712
74
.701
75
.697
76
.692
77
.686
78
.685
79
.686
80
.683
81
.680
82
.679
83
.676
84
.676
85
.671
86
.670
87
.662
88
.662
89
.662
90
.658
91
.656
92
.654
93
.652
94
.653
95
.652
96
.652
97
.651
98
.651
99
.650
100
.647
101
.634
102
.634
103
.627
104
.626
105
.624
106
.620
107
.619
108
.617
109
.616
110
.613
111
.609
112
.607
113
.607
114
.607
115
.606
116
.604
117
.602
118
.600
119
.598
120
.597
121
.596
122
.596
123
.594
124
.593
125
.593
126
.593
127
.593
128
.592
129
.592
130
.592
131
.587
132
.584
133
.583
134
.583
135
.583
136
.582
137
.579
138
.577
139
.578
140
.575
141
.575
142
.574
143
.574
144
.572
145
.571
146
.569
147
.569
148
.569
149
.568
150
.565
151
.565
152
.564
153
.561
154
.561
155
.559
156
.558
157
.558
158
.552
159
.551
160
.550
161
.550
162
.549
163
.549
164
.548
165
.547
166
.547
167
.545
168
.546
169
.544
170
.543
171
.541
172
.541
173
.539
174
.534
175
.533
176
.532
177
.533
178
.532
179
.531
180
.530
181
.531
182
.528
183
.525
184
.523
185
.522
186
.519
187
.520
188
.519
189
.518
190
.518
191
.517
192
.516
193
.517
194
.516
195
.516
196
.515
197
.515
198
.515
199
.513
200
.512
201
.512
202
.511
203
.511
204
.510
205
.509
206
.508
207
.508
208
.508
209
.506
210
.507
211
.505
212
.505
213
.504
214
.501
215
.501
216
.499
217
.497
218
.496
219
.494
220
.495
221
.494
222
.494
223
.493
224
.492
225
.492
226
.492
227
.490
228
.490
229
.490
230
.490
231
.489
232
.489
233
.487
234
.487
235
.487
236
.486
237
.483
238
.482
239
.481
240
.481
241
.481
242
.480
243
.479
244
.478
245
.478
246
.477
247
.476
248
.476
249
.472
250
.472
251
.471
252
.471
253
.469
254
.468
255
.466
256
.465
257
.462
258
.462
259
.462
260
.460
261
.460
262
.459
263
.459
264
.458
265
.458
266
.453
267
.452
268
.452
269
.452
270
.452
271
.451
272
.450
273
.451
274
.450
275
.449
276
.450
277
.448
278
.448
279
.448
280
.446
281
.445
282
.445
283
.443
284
.441
285
.440
286
.438
287
.437
288
.437
289
.436
290
.436
291
.435
292
.434
293
.434
294
.434
295
.432
296
.431
297
.431
298
.429
299
.428
300
.428
301
.427
302
.426
303
.425
304
.426
305
.425
306
.424
307
.423
308
.422
309
.421
310
.419
311
.419
312
.415
313
.414
314
.412
315
.410
316
.409
317
.408
318
.409
319
.408
320
.407
321
.407
322
.405
323
.403
324
.403
325
.399
326
.398
327
.398
328
.394
329
.393
330
.393
331
.393
332
.393
333
.391
334
.391
335
.391
336
.383
337
.382
338
.382
339
.381
340
.378
341
.376
342
.372
343
.371
344
.369
345
.367
346
.363
347
.362
348
.359
349
.356
350
.354
351
.352
352
.343
353
.342
354
.334
355
.331
356
.321
357
.319
358
.316
359
.316
360
.313
361
.304
362
.300
363
.296
364
.296
365
.293
366
.290
367
.242
368
.235
369
.000
370
.000
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397

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

0.96.

Note that scores are relative to this ceiling.

Data: Marques2020_FreemanZiemba2013

Metric: abs_texture_modulation_index