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

0.95.

Note that scores are relative to this ceiling.

Data: Marques2020_FreemanZiemba2013

Metric: texture_modulation_index