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.V2-pls")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.402
2
.402
3
.397
4
.393
5
.391
6
.384
7
.380
8
.373
9
.369
10
.365
11
.364
12
.362
13
.361
14
.360
15
.360
16
.360
17
.360
18
.357
19
.356
20
.356
21
.356
22
.353
23
.353
24
.353
25
.353
26
.353
27
.353
28
.353
29
.353
30
.353
31
.353
32
.353
33
.353
34
.353
35
.349
36
.346
37
.346
38
.345
39
.342
40
.342
41
.341
42
.341
43
.341
44
.341
45
.340
46
.340
47
.339
48
.339
49
.339
50
.339
51
.339
52
.338
53
.337
54
.337
55
.336
56
.336
57
.336
58
.335
59
.335
60
.335
61
.334
62
.334
63
.334
64
.334
65
.333
66
.333
67
.332
68
.332
69
.332
70
.332
71
.332
72
.332
73
.331
74
.331
75
.330
76
.330
77
.329
78
.329
79
.329
80
.328
81
.328
82
.328
83
.327
84
.327
85
.327
86
.326
87
.326
88
.325
89
.325
90
.324
91
.324
92
.324
93
.324
94
.323
95
.323
96
.323
97
.322
98
.322
99
.322
100
.322
101
.322
102
.321
103
.321
104
.321
105
.321
106
.321
107
.321
108
.320
109
.320
110
.320
111
.320
112
.320
113
.320
114
.320
115
.320
116
.319
117
.319
118
.319
119
.318
120
.318
121
.318
122
.318
123
.318
124
.318
125
.317
126
.317
127
.317
128
.317
129
.317
130
.317
131
.316
132
.316
133
.315
134
.315
135
.315
136
.314
137
.313
138
.313
139
.313
140
.313
141
.312
142
.312
143
.312
144
.312
145
.312
146
.311
147
.311
148
.311
149
.311
150
.311
151
.311
152
.311
153
.311
154
.310
155
.310
156
.309
157
.309
158
.309
159
.309
160
.308
161
.308
162
.308
163
.308
164
.308
165
.308
166
.307
167
.307
168
.307
169
.307
170
.307
171
.307
172
.307
173
.306
174
.306
175
.306
176
.306
177
.306
178
.306
179
.306
180
.306
181
.306
182
.306
183
.306
184
.305
185
.305
186
.305
187
.305
188
.305
189
.305
190
.304
191
.304
192
.304
193
.304
194
.304
195
.304
196
.304
197
.304
198
.303
199
.303
200
.303
201
.302
202
.302
203
.302
204
.302
205
.302
206
.301
207
.301
208
.301
209
.301
210
.301
211
.301
212
.301
213
.300
214
.300
215
.300
216
.299
217
.299
218
.299
219
.299
220
.299
221
.298
222
.298
223
.298
224
.298
225
.297
226
.297
227
.296
228
.296
229
.296
230
.295
231
.295
232
.295
233
.295
234
.295
235
.295
236
.295
237
.295
238
.295
239
.295
240
.295
241
.294
242
.294
243
.294
244
.294
245
.294
246
.293
247
.293
248
.293
249
.293
250
.293
251
.293
252
.293
253
.293
254
.292
255
.291
256
.291
257
.291
258
.291
259
.291
260
.290
261
.290
262
.290
263
.289
264
.289
265
.289
266
.288
267
.288
268
.288
269
.288
270
.287
271
.287
272
.287
273
.287
274
.286
275
.286
276
.286
277
.286
278
.285
279
.285
280
.285
281
.285
282
.285
283
.284
284
.284
285
.283
286
.283
287
.282
288
.282
289
.281
290
.281
291
.280
292
.279
293
.278
294
.278
295
.278
296
.278
297
.276
298
.275
299
.275
300
.274
301
.274
302
.273
303
.273
304
.272
305
.272
306
.272
307
.271
308
.270
309
.270
310
.270
311
.269
312
.269
313
.267
314
.267
315
.266
316
.265
317
.265
318
.265
319
.265
320
.263
321
.263
322
.262
323
.262
324
.261
325
.261
326
.261
327
.260
328
.260
329
.260
330
.259
331
.259
332
.258
333
.257
334
.257
335
.256
336
.255
337
.255
338
.255
339
.254
340
.254
341
.252
342
.252
343
.251
344
.251
345
.250
346
.249
347
.249
348
.249
349
.248
350
.248
351
.248
352
.247
353
.246
354
.246
355
.246
356
.246
357
.243
358
.243
359
.243
360
.242
361
.238
362
.238
363
.238
364
.238
365
.238
366
.238
367
.238
368
.238
369
.238
370
.238
371
.238
372
.237
373
.237
374
.234
375
.234
376
.233
377
.232
378
.232
379
.232
380
.231
381
.231
382
.230
383
.230
384
.230
385
.229
386
.229
387
.228
388
.227
389
.226
390
.226
391
.223
392
.222
393
.218
394
.218
395
.217
396
.216
397
.215
398
.204
399
.202
400
.201
401
.200
402
.198
403
.193
404
.189
405
.182
406
.180
407
.176
408
.174
409
.165
410
.165
411
.150
412
.132
413
.130
414
.128
415
.126
416
.126
417
.120
418
.116
419
.111
420
.107
421
.056
422
.029
423
.024
424
.008
425
.007
426
.005
427
.003
428
X
429
X
430
X
431
X
432
X
433
X
434
X
435
X
436
X
437
X
438
X
439
X
440
X
441
X
442
X

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

0.82.

Note that scores are relative to this ceiling.

Data: FreemanZiemba2013.V2

315 stimuli recordings from 103 sites in V2

Metric: pls