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
.738
65
.738
66
.736
67
.734
68
.728
69
.712
70
.697
71
.685
72
.686
73
.683
74
.681
75
.680
76
.679
77
.676
78
.676
79
.662
80
.662
81
.662
82
.658
83
.656
84
.654
85
.652
86
.653
87
.652
88
.652
89
.651
90
.651
91
.650
92
.647
93
.634
94
.634
95
.627
96
.626
97
.624
98
.619
99
.617
100
.609
101
.607
102
.607
103
.606
104
.602
105
.600
106
.598
107
.597
108
.594
109
.593
110
.593
111
.593
112
.592
113
.592
114
.584
115
.583
116
.583
117
.582
118
.579
119
.577
120
.578
121
.575
122
.575
123
.574
124
.574
125
.572
126
.571
127
.569
128
.569
129
.569
130
.568
131
.565
132
.565
133
.564
134
.561
135
.561
136
.559
137
.558
138
.558
139
.552
140
.551
141
.550
142
.550
143
.549
144
.549
145
.548
146
.547
147
.547
148
.545
149
.546
150
.544
151
.543
152
.541
153
.541
154
.539
155
.533
156
.532
157
.533
158
.532
159
.531
160
.530
161
.531
162
.528
163
.525
164
.523
165
.522
166
.519
167
.520
168
.519
169
.518
170
.518
171
.517
172
.516
173
.517
174
.516
175
.516
176
.515
177
.515
178
.515
179
.513
180
.512
181
.511
182
.510
183
.509
184
.508
185
.508
186
.508
187
.506
188
.507
189
.505
190
.505
191
.504
192
.501
193
.501
194
.499
195
.496
196
.494
197
.495
198
.493
199
.492
200
.490
201
.490
202
.490
203
.490
204
.489
205
.489
206
.487
207
.487
208
.486
209
.483
210
.482
211
.481
212
.481
213
.481
214
.480
215
.479
216
.478
217
.478
218
.477
219
.476
220
.476
221
.472
222
.472
223
.471
224
.471
225
.469
226
.468
227
.466
228
.465
229
.462
230
.462
231
.462
232
.460
233
.460
234
.459
235
.459
236
.458
237
.458
238
.453
239
.452
240
.452
241
.452
242
.451
243
.450
244
.451
245
.450
246
.449
247
.450
248
.448
249
.448
250
.446
251
.445
252
.445
253
.443
254
.441
255
.440
256
.438
257
.437
258
.437
259
.436
260
.436
261
.435
262
.434
263
.434
264
.432
265
.431
266
.431
267
.429
268
.428
269
.428
270
.427
271
.426
272
.426
273
.425
274
.424
275
.423
276
.422
277
.421
278
.419
279
.419
280
.415
281
.414
282
.412
283
.410
284
.409
285
.409
286
.408
287
.407
288
.407
289
.405
290
.403
291
.403
292
.399
293
.398
294
.398
295
.394
296
.393
297
.393
298
.393
299
.393
300
.391
301
.391
302
.391
303
.383
304
.382
305
.382
306
.381
307
.378
308
.376
309
.375
310
.372
311
.371
312
.369
313
.367
314
.362
315
.359
316
.356
317
.354
318
.352
319
.343
320
.342
321
.334
322
.331
323
.321
324
.319
325
.316
326
.316
327
.313
328
.304
329
.300
330
.296
331
.296
332
.293
333
.290
334
.242
335
.235
336
.000
337
.000
338
X
339
X
340
X
341
X
342
X
343
X
344
X
345
X
346
X
347
X
348
X
349
X
350
X
351
X
352
X
353
X
354
X
355
X
356
X
357
X
358
X
359
X
360
X
361
X
362
X
363
X
364
X

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