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
.964
6
.947
7
.945
8
.945
9
.944
10
.943
11
.938
12
.931
13
.929
14
.926
15
.923
16
.922
17
.916
18
.919
19
.912
20
.913
21
.911
22
.909
23
.907
24
.905
25
.905
26
.904
27
.905
28
.900
29
.900
30
.899
31
.898
32
.898
33
.897
34
.896
35
.896
36
.897
37
.896
38
.896
39
.892
40
.887
41
.886
42
.883
43
.876
44
.866
45
.862
46
.858
47
.853
48
.851
49
.851
50
.829
51
.822
52
.807
53
.803
54
.788
55
.783
56
.783
57
.782
58
.779
59
.764
60
.762
61
.762
62
.758
63
.752
64
.749
65
.738
66
.738
67
.736
68
.734
69
.728
70
.712
71
.697
72
.686
73
.685
74
.686
75
.683
76
.680
77
.679
78
.676
79
.676
80
.671
81
.670
82
.662
83
.662
84
.662
85
.658
86
.656
87
.654
88
.652
89
.653
90
.652
91
.652
92
.651
93
.651
94
.650
95
.647
96
.634
97
.634
98
.627
99
.626
100
.624
101
.620
102
.619
103
.617
104
.616
105
.613
106
.609
107
.607
108
.607
109
.607
110
.606
111
.604
112
.602
113
.600
114
.598
115
.597
116
.596
117
.596
118
.594
119
.593
120
.593
121
.593
122
.593
123
.592
124
.592
125
.592
126
.587
127
.584
128
.583
129
.583
130
.583
131
.582
132
.579
133
.577
134
.578
135
.575
136
.575
137
.574
138
.574
139
.572
140
.571
141
.569
142
.569
143
.569
144
.568
145
.565
146
.565
147
.564
148
.561
149
.561
150
.559
151
.558
152
.558
153
.552
154
.551
155
.550
156
.550
157
.549
158
.549
159
.548
160
.547
161
.547
162
.545
163
.546
164
.544
165
.543
166
.541
167
.541
168
.539
169
.534
170
.533
171
.532
172
.533
173
.532
174
.531
175
.530
176
.531
177
.528
178
.525
179
.523
180
.522
181
.519
182
.520
183
.519
184
.518
185
.518
186
.517
187
.516
188
.517
189
.516
190
.516
191
.515
192
.515
193
.515
194
.513
195
.512
196
.511
197
.511
198
.510
199
.509
200
.508
201
.508
202
.508
203
.506
204
.507
205
.505
206
.505
207
.504
208
.501
209
.501
210
.499
211
.497
212
.496
213
.494
214
.495
215
.494
216
.494
217
.493
218
.492
219
.492
220
.490
221
.490
222
.490
223
.490
224
.489
225
.489
226
.487
227
.487
228
.487
229
.486
230
.483
231
.482
232
.481
233
.481
234
.481
235
.480
236
.479
237
.478
238
.478
239
.477
240
.476
241
.476
242
.472
243
.472
244
.471
245
.471
246
.469
247
.468
248
.466
249
.465
250
.462
251
.462
252
.462
253
.460
254
.460
255
.459
256
.459
257
.458
258
.458
259
.453
260
.452
261
.452
262
.452
263
.452
264
.451
265
.450
266
.451
267
.450
268
.449
269
.450
270
.448
271
.448
272
.446
273
.445
274
.445
275
.443
276
.441
277
.440
278
.438
279
.437
280
.437
281
.436
282
.436
283
.435
284
.434
285
.434
286
.432
287
.431
288
.431
289
.429
290
.428
291
.428
292
.427
293
.426
294
.425
295
.426
296
.425
297
.424
298
.423
299
.422
300
.421
301
.419
302
.419
303
.415
304
.414
305
.412
306
.410
307
.409
308
.409
309
.408
310
.407
311
.407
312
.405
313
.403
314
.403
315
.399
316
.398
317
.398
318
.394
319
.393
320
.393
321
.393
322
.393
323
.391
324
.391
325
.391
326
.383
327
.382
328
.382
329
.381
330
.378
331
.376
332
.375
333
.372
334
.371
335
.369
336
.367
337
.362
338
.359
339
.356
340
.354
341
.352
342
.343
343
.342
344
.334
345
.331
346
.321
347
.319
348
.316
349
.316
350
.313
351
.304
352
.300
353
.296
354
.296
355
.293
356
.290
357
.242
358
.235
359
.000
360
.000
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387

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