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-texture_modulation_index")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.991
2
.974
3
.966
4
.961
5
.953
6
.952
7
.949
8
.949
9
.947
10
.948
11
.944
12
.933
13
.933
14
.927
15
.922
16
.914
17
.915
18
.912
19
.911
20
.900
21
.898
22
.893
23
.891
24
.885
25
.872
26
.871
27
.871
28
.864
29
.860
30
.856
31
.856
32
.855
33
.854
34
.853
35
.851
36
.848
37
.837
38
.829
39
.826
40
.816
41
.814
42
.809
43
.805
44
.804
45
.804
46
.804
47
.802
48
.801
49
.799
50
.795
51
.794
52
.794
53
.792
54
.792
55
.788
56
.788
57
.787
58
.788
59
.787
60
.787
61
.782
62
.781
63
.783
64
.783
65
.782
66
.780
67
.780
68
.780
69
.778
70
.778
71
.776
72
.777
73
.776
74
.775
75
.775
76
.775
77
.774
78
.773
79
.773
80
.772
81
.771
82
.771
83
.770
84
.769
85
.769
86
.768
87
.768
88
.767
89
.765
90
.766
91
.765
92
.764
93
.764
94
.763
95
.762
96
.762
97
.761
98
.761
99
.761
100
.760
101
.758
102
.759
103
.758
104
.756
105
.755
106
.755
107
.753
108
.752
109
.752
110
.750
111
.750
112
.750
113
.749
114
.749
115
.748
116
.748
117
.747
118
.747
119
.748
120
.747
121
.746
122
.745
123
.746
124
.746
125
.745
126
.745
127
.746
128
.743
129
.743
130
.745
131
.744
132
.743
133
.742
134
.741
135
.741
136
.740
137
.740
138
.740
139
.739
140
.737
141
.737
142
.737
143
.735
144
.736
145
.735
146
.734
147
.734
148
.734
149
.733
150
.733
151
.733
152
.732
153
.733
154
.732
155
.732
156
.731
157
.730
158
.730
159
.729
160
.729
161
.729
162
.728
163
.727
164
.723
165
.724
166
.724
167
.723
168
.723
169
.722
170
.723
171
.723
172
.724
173
.721
174
.722
175
.721
176
.723
177
.721
178
.721
179
.721
180
.720
181
.720
182
.721
183
.719
184
.720
185
.719
186
.718
187
.718
188
.716
189
.714
190
.712
191
.712
192
.712
193
.712
194
.712
195
.711
196
.711
197
.710
198
.711
199
.708
200
.710
201
.709
202
.708
203
.708
204
.708
205
.707
206
.706
207
.706
208
.706
209
.705
210
.705
211
.703
212
.701
213
.700
214
.698
215
.696
216
.697
217
.696
218
.696
219
.694
220
.694
221
.694
222
.693
223
.693
224
.693
225
.693
226
.690
227
.689
228
.689
229
.689
230
.690
231
.687
232
.688
233
.687
234
.687
235
.685
236
.685
237
.684
238
.685
239
.684
240
.683
241
.682
242
.684
243
.682
244
.681
245
.681
246
.682
247
.681
248
.679
249
.678
250
.675
251
.676
252
.675
253
.675
254
.674
255
.674
256
.671
257
.671
258
.671
259
.670
260
.670
261
.671
262
.670
263
.671
264
.670
265
.669
266
.669
267
.669
268
.670
269
.669
270
.669
271
.669
272
.669
273
.669
274
.667
275
.666
276
.665
277
.665
278
.665
279
.663
280
.662
281
.663
282
.662
283
.662
284
.662
285
.660
286
.659
287
.659
288
.659
289
.659
290
.657
291
.657
292
.655
293
.649
294
.646
295
.643
296
.642
297
.641
298
.640
299
.640
300
.640
301
.639
302
.638
303
.639
304
.636
305
.636
306
.630
307
.629
308
.628
309
.623
310
.621
311
.619
312
.618
313
.618
314
.615
315
.615
316
.613
317
.613
318
.613
319
.611
320
.602
321
.604
322
.602
323
.596
324
.595
325
.593
326
.594
327
.592
328
.580
329
.579
330
.579
331
.573
332
.571
333
.567
334
.567
335
.563
336
.559
337
.545
338
.541
339
.539
340
.525
341
.523
342
.517
343
.516
344
.516
345
.509
346
.508
347
.506
348
.506
349
.506
350
.499
351
.491
352
.489
353
.488
354
.481
355
.478
356
.445
357
.442
358
.435
359
.418
360
.418
361
.114
362
.000
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

0.95.

Note that scores are relative to this ceiling.

Data: Marques2020_FreemanZiemba2013

Metric: texture_modulation_index