Sample stimuli
How to use
from brainscore_vision import load_benchmark
benchmark = load_benchmark("Allen2022_fmri_surface.V2-ridge")
score = benchmark(my_model)
Model scores
Min Alignment
Max Alignment
|
Rank |
Model |
Score |
|---|---|---|
| 1 |
.537
|
|
| 2 |
.522
|
|
| 3 |
.520
|
|
| 4 |
.519
|
|
| 5 |
.518
|
|
| 6 |
.518
|
|
| 7 |
.517
|
|
| 8 |
.513
|
|
| 9 |
.512
|
|
| 10 |
.507
|
|
| 11 |
.507
|
|
| 12 |
.505
|
|
| 13 |
.503
|
|
| 14 |
.502
|
|
| 15 |
.503
|
|
| 16 |
.502
|
|
| 17 |
.503
|
|
| 18 |
.501
|
|
| 19 |
.501
|
|
| 20 |
.500
|
|
| 21 |
.500
|
|
| 22 |
.499
|
|
| 23 |
.499
|
|
| 24 |
.500
|
|
| 25 |
.499
|
|
| 26 |
.499
|
|
| 27 |
.498
|
|
| 28 |
.496
|
|
| 29 |
.496
|
|
| 30 |
.496
|
|
| 31 |
.495
|
|
| 32 |
.495
|
|
| 33 |
.494
|
|
| 34 |
.494
|
|
| 35 |
.494
|
|
| 36 |
.494
|
|
| 37 |
.494
|
|
| 38 |
.493
|
|
| 39 |
.493
|
|
| 40 |
.490
|
|
| 41 |
.490
|
|
| 42 |
.490
|
|
| 43 |
.491
|
|
| 44 |
.489
|
|
| 45 |
.487
|
|
| 46 |
.487
|
|
| 47 |
.486
|
|
| 48 |
.485
|
|
| 49 |
.482
|
|
| 50 |
.482
|
|
| 51 |
.482
|
|
| 52 |
.482
|
|
| 53 |
.480
|
|
| 54 |
.480
|
|
| 55 |
.478
|
|
| 56 |
.478
|
|
| 57 |
.478
|
|
| 58 |
.477
|
|
| 59 |
.476
|
|
| 60 |
.475
|
|
| 61 |
.474
|
|
| 62 |
.473
|
|
| 63 |
.474
|
|
| 64 |
.473
|
|
| 65 |
.471
|
|
| 66 |
.470
|
|
| 67 |
.469
|
|
| 68 |
.467
|
|
| 69 |
.468
|
|
| 70 |
.465
|
|
| 71 |
.463
|
|
| 72 |
.463
|
|
| 73 |
.462
|
|
| 74 |
.461
|
|
| 75 |
.462
|
|
| 76 |
.460
|
|
| 77 |
.460
|
|
| 78 |
.459
|
|
| 79 |
.458
|
|
| 80 |
.458
|
|
| 81 |
.457
|
|
| 82 |
.455
|
|
| 83 |
.454
|
|
| 84 |
.454
|
|
| 85 |
.451
|
|
| 86 |
.448
|
|
| 87 |
.444
|
|
| 88 |
.443
|
|
| 89 |
.441
|
|
| 90 |
.438
|
|
| 91 |
.438
|
|
| 92 |
.437
|
|
| 93 |
.437
|
|
| 94 |
.436
|
|
| 95 |
.432
|
|
| 96 |
.429
|
|
| 97 |
.431
|
|
| 98 |
.429
|
|
| 99 |
.425
|
|
| 100 |
.425
|
|
| 101 |
.424
|
|
| 102 |
.424
|
|
| 103 |
.423
|
|
| 104 |
.422
|
|
| 105 |
.423
|
|
| 106 |
.422
|
|
| 107 |
.421
|
|
| 108 |
.420
|
|
| 109 |
.419
|
|
| 110 |
.415
|
|
| 111 |
.416
|
|
| 112 |
.413
|
|
| 113 |
.402
|
|
| 114 |
.400
|
|
| 115 |
.398
|
|
| 116 |
.396
|
|
| 117 |
.395
|
|
| 118 |
.391
|
|
| 119 |
.390
|
|
| 120 |
.389
|
|
| 121 |
.391
|
|
| 122 |
.390
|
|
| 123 |
.386
|
|
| 124 |
.382
|
|
| 125 |
.379
|
|
| 126 |
.380
|
|
| 127 |
.377
|
|
| 128 |
.377
|
|
| 129 |
.376
|
|
| 130 |
.376
|
|
| 131 |
.375
|
|
| 132 |
.373
|
|
| 133 |
.372
|
|
| 134 |
.370
|
|
| 135 |
.359
|
|
| 136 |
.358
|
|
| 137 |
.357
|
|
| 138 |
.355
|
|
| 139 |
.351
|
|
| 140 |
.350
|
|
| 141 |
.347
|
|
| 142 |
.347
|
|
| 143 |
.323
|
|
| 144 |
.306
|
|
| 145 |
.302
|
|
| 146 |
.284
|
|
| 147 |
.276
|
|
| 148 |
.264
|
|
| 149 |
.257
|
|
| 150 |
.252
|
|
| 151 |
.240
|
|
| 152 |
.232
|
|
| 153 |
.232
|
|
| 154 |
.221
|
|
| 155 |
.223
|
|
| 156 |
.218
|
|
| 157 |
.210
|
|
| 158 |
.207
|
|
| 159 |
.189
|
|
| 160 |
.185
|
|
| 161 |
.182
|
|
| 162 |
.180
|
|
| 163 |
.138
|
|
| 164 |
.076
|
|
| 165 |
.055
|
|
| 166 |
.052
|
|
| 167 |
|
Benchmark bibtex
@article{allen_massive_2022,
title = {A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence},
volume = {25},
issn = {1097-6256},
doi = {10.1038/s41593-021-00962-x},
journal = {Nature Neuroscience},
author = {Allen, Emily J. and St-Yves, Ghislain and Wu, Yihan and Breedlove, Jesse L.
and Prince, Jacob S. and Dowdle, Logan T. and Nau, Matthias and Caron, Brad
and Pestilli, Franco and Charest, Ian and Hutchinson, J. Benjamin
and Naselaris, Thomas and Kay, Kendrick},
year = {2022},
pages = {116--126},
}
Ceiling
0.50.Note that scores are relative to this ceiling.
Data: Allen2022_fmri_surface.V2
Metric: ridge