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
.685
73
.686
74
.683
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
.616
101
.613
102
.609
103
.607
104
.607
105
.607
106
.606
107
.604
108
.602
109
.600
110
.598
111
.597
112
.596
113
.596
114
.594
115
.593
116
.593
117
.593
118
.593
119
.592
120
.592
121
.592
122
.587
123
.584
124
.583
125
.583
126
.583
127
.582
128
.579
129
.577
130
.578
131
.575
132
.575
133
.574
134
.574
135
.572
136
.571
137
.569
138
.569
139
.569
140
.568
141
.565
142
.565
143
.564
144
.561
145
.561
146
.559
147
.558
148
.558
149
.552
150
.551
151
.550
152
.550
153
.549
154
.549
155
.548
156
.547
157
.547
158
.545
159
.546
160
.544
161
.543
162
.541
163
.541
164
.539
165
.533
166
.532
167
.533
168
.532
169
.531
170
.530
171
.531
172
.528
173
.525
174
.523
175
.522
176
.519
177
.520
178
.519
179
.518
180
.518
181
.517
182
.516
183
.517
184
.516
185
.516
186
.515
187
.515
188
.515
189
.513
190
.512
191
.511
192
.510
193
.509
194
.508
195
.508
196
.508
197
.506
198
.507
199
.505
200
.505
201
.504
202
.501
203
.501
204
.499
205
.497
206
.496
207
.494
208
.495
209
.494
210
.494
211
.493
212
.492
213
.492
214
.490
215
.490
216
.490
217
.490
218
.489
219
.489
220
.487
221
.487
222
.486
223
.483
224
.482
225
.481
226
.481
227
.481
228
.480
229
.479
230
.478
231
.478
232
.477
233
.476
234
.476
235
.472
236
.472
237
.471
238
.471
239
.469
240
.468
241
.466
242
.465
243
.462
244
.462
245
.462
246
.460
247
.460
248
.459
249
.459
250
.458
251
.458
252
.453
253
.452
254
.452
255
.452
256
.451
257
.450
258
.451
259
.450
260
.449
261
.450
262
.448
263
.448
264
.446
265
.445
266
.445
267
.443
268
.441
269
.440
270
.438
271
.437
272
.437
273
.436
274
.436
275
.435
276
.434
277
.434
278
.432
279
.431
280
.431
281
.429
282
.428
283
.428
284
.427
285
.426
286
.426
287
.425
288
.424
289
.423
290
.422
291
.421
292
.419
293
.419
294
.415
295
.414
296
.412
297
.410
298
.409
299
.409
300
.408
301
.407
302
.407
303
.405
304
.403
305
.403
306
.399
307
.398
308
.398
309
.394
310
.393
311
.393
312
.393
313
.393
314
.391
315
.391
316
.391
317
.383
318
.382
319
.382
320
.381
321
.378
322
.376
323
.375
324
.372
325
.371
326
.369
327
.367
328
.362
329
.359
330
.356
331
.354
332
.352
333
.343
334
.342
335
.334
336
.331
337
.321
338
.319
339
.316
340
.316
341
.313
342
.304
343
.300
344
.296
345
.296
346
.293
347
.290
348
.242
349
.235
350
.000
351
.000
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378

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