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("FreemanZiemba2013.V1-pls")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.378
2
.375
3
.357
4
.355
5
.344
6
.344
7
.343
8
.340
9
.338
10
.336
11
.331
12
.331
13
.331
14
.331
15
.331
16
.331
17
.330
18
.329
19
.328
20
.327
21
.327
22
.327
23
.324
24
.319
25
.313
26
.310
27
.309
28
.304
29
.303
30
.301
31
.300
32
.300
33
.298
34
.295
35
.295
36
.292
37
.287
38
.286
39
.285
40
.284
41
.284
42
.284
43
.283
44
.281
45
.281
46
.278
47
.278
48
.277
49
.277
50
.276
51
.276
52
.276
53
.274
54
.273
55
.271
56
.271
57
.271
58
.270
59
.270
60
.269
61
.267
62
.267
63
.266
64
.265
65
.263
66
.263
67
.263
68
.263
69
.263
70
.263
71
.263
72
.263
73
.263
74
.263
75
.263
76
.262
77
.262
78
.262
79
.262
80
.262
81
.262
82
.262
83
.261
84
.261
85
.261
86
.260
87
.260
88
.260
89
.260
90
.260
91
.260
92
.259
93
.258
94
.258
95
.258
96
.257
97
.257
98
.257
99
.257
100
.257
101
.257
102
.257
103
.257
104
.257
105
.257
106
.257
107
.257
108
.256
109
.256
110
.256
111
.256
112
.255
113
.254
114
.254
115
.253
116
.253
117
.253
118
.253
119
.253
120
.253
121
.253
122
.252
123
.252
124
.252
125
.252
126
.252
127
.251
128
.251
129
.251
130
.250
131
.250
132
.249
133
.249
134
.249
135
.249
136
.249
137
.249
138
.248
139
.248
140
.248
141
.248
142
.247
143
.247
144
.247
145
.247
146
.247
147
.247
148
.246
149
.246
150
.246
151
.246
152
.246
153
.246
154
.246
155
.245
156
.245
157
.244
158
.244
159
.244
160
.244
161
.244
162
.243
163
.243
164
.243
165
.243
166
.243
167
.243
168
.243
169
.243
170
.243
171
.243
172
.243
173
.243
174
.243
175
.243
176
.243
177
.243
178
.243
179
.243
180
.243
181
.243
182
.242
183
.242
184
.242
185
.242
186
.242
187
.242
188
.241
189
.241
190
.241
191
.240
192
.240
193
.240
194
.240
195
.240
196
.240
197
.240
198
.240
199
.240
200
.240
201
.239
202
.239
203
.239
204
.239
205
.239
206
.239
207
.239
208
.238
209
.238
210
.238
211
.238
212
.237
213
.237
214
.237
215
.236
216
.236
217
.236
218
.236
219
.236
220
.236
221
.236
222
.236
223
.235
224
.235
225
.235
226
.235
227
.234
228
.234
229
.234
230
.233
231
.233
232
.233
233
.232
234
.232
235
.232
236
.232
237
.231
238
.231
239
.231
240
.231
241
.231
242
.231
243
.230
244
.230
245
.230
246
.230
247
.230
248
.230
249
.229
250
.229
251
.229
252
.229
253
.229
254
.229
255
.228
256
.228
257
.228
258
.228
259
.227
260
.227
261
.226
262
.226
263
.226
264
.226
265
.226
266
.226
267
.226
268
.225
269
.225
270
.225
271
.225
272
.224
273
.224
274
.224
275
.224
276
.224
277
.223
278
.223
279
.222
280
.222
281
.222
282
.222
283
.222
284
.222
285
.221
286
.221
287
.221
288
.221
289
.221
290
.220
291
.219
292
.219
293
.219
294
.218
295
.218
296
.218
297
.218
298
.217
299
.217
300
.217
301
.217
302
.217
303
.216
304
.216
305
.216
306
.216
307
.216
308
.215
309
.215
310
.215
311
.215
312
.215
313
.215
314
.214
315
.214
316
.214
317
.214
318
.214
319
.214
320
.213
321
.213
322
.213
323
.213
324
.212
325
.212
326
.212
327
.212
328
.211
329
.211
330
.211
331
.211
332
.211
333
.211
334
.211
335
.211
336
.211
337
.211
338
.211
339
.211
340
.210
341
.209
342
.209
343
.209
344
.208
345
.208
346
.208
347
.208
348
.208
349
.208
350
.208
351
.207
352
.207
353
.207
354
.207
355
.206
356
.205
357
.205
358
.205
359
.205
360
.205
361
.204
362
.204
363
.204
364
.204
365
.204
366
.204
367
.203
368
.203
369
.202
370
.202
371
.202
372
.201
373
.201
374
.201
375
.200
376
.200
377
.199
378
.199
379
.199
380
.199
381
.199
382
.197
383
.197
384
.196
385
.195
386
.195
387
.195
388
.195
389
.195
390
.195
391
.194
392
.194
393
.194
394
.193
395
.193
396
.193
397
.192
398
.192
399
.192
400
.192
401
.192
402
.191
403
.190
404
.190
405
.190
406
.190
407
.189
408
.188
409
.188
410
.188
411
.188
412
.188
413
.187
414
.186
415
.186
416
.185
417
.184
418
.184
419
.183
420
.182
421
.181
422
.181
423
.180
424
.180
425
.180
426
.180
427
.180
428
.180
429
.180
430
.180
431
.180
432
.180
433
.180
434
.179
435
.175
436
.173
437
.173
438
.171
439
.169
440
.169
441
.167
442
.166
443
.161
444
.160
445
.160
446
.160
447
.159
448
.153
449
.151
450
.140
451
.117
452
.112
453
.100
454
.078
455
.054
456
.047
457
.042
458
.041
459
.037

Benchmark bibtex

@Article{Freeman2013,
                author={Freeman, Jeremy
                and Ziemba, Corey M.
                and Heeger, David J.
                and Simoncelli, Eero P.
                and Movshon, J. Anthony},
                title={A functional and perceptual signature of the second visual area in primates},
                journal={Nature Neuroscience},
                year={2013},
                month={Jul},
                day={01},
                volume={16},
                number={7},
                pages={974-981},
                abstract={The authors examined neuronal responses in V1 and V2 to synthetic texture stimuli that replicate higher-order statistical dependencies found in natural images. V2, but not V1, responded differentially to these textures, in both macaque (single neurons) and human (fMRI). Human detection of naturalistic structure in the same images was predicted by V2 responses, suggesting a role for V2 in representing natural image structure.},
                issn={1546-1726},
                doi={10.1038/nn.3402},
                url={https://doi.org/10.1038/nn.3402}
                }
            

Ceiling

0.87.

Note that scores are relative to this ceiling.

Data: FreemanZiemba2013.V1

315 stimuli recordings from 102 sites in V1

Metric: pls