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("Li2026.V1-ridgecv")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.513
2
.504
3
.486
4
.439
5
.431
6
.426
7
.426
8
.426
9
.426
10
.426
11
.425
12
.425
13
.424
14
.424
15
.423
16
.423
17
.423
18
.423
19
.416
20
.416
21
.413
22
.412
23
.412
24
.412
25
.412
26
.411
27
.409
28
.409
29
.409
30
.408
31
.403
32
.403
33
.402
34
.401
35
.399
36
.397
37
.394
38
.393
39
.392
40
.392
41
.391
42
.391
43
.388
44
.387
45
.384
46
.382
47
.382
48
.380
49
.379
50
.377
51
.376
52
.376
53
.373
54
.372
55
.372
56
.371
57
.371
58
.371
59
.371
60
.370
61
.370
62
.369
63
.369
64
.369
65
.369
66
.369
67
.369
68
.369
69
.368
70
.368
71
.368
72
.367
73
.366
74
.366
75
.366
76
.364
77
.361
78
.360
79
.358
80
.358
81
.357
82
.356
83
.355
84
.355
85
.352
86
.350
87
.350
88
.348
89
.347
90
.347
91
.347
92
.345
93
.342
94
.341
95
.341
96
.340
97
.339
98
.331
99
.331
100
.330
101
.328
102
.327
103
.327
104
.325
105
.324
106
.323
107
.323
108
.321
109
.319
110
.317
111
.317
112
.311
113
.311
114
.310
115
.310
116
.309
117
.309
118
.308
119
.306
120
.299
121
.298
122
.298
123
.295
124
.292
125
.291
126
.290
127
.281
128
.272
129
.261
130
.260
131
.257
132
.252
133
.251
134
.251
135
.246
136
.242
137
.239
138
.231
139
.229
140
.218
141
.182
142
.169
143
.155
144
.154
145
.145
146
.112
147
.066
148
.038
149

Benchmark bibtex

@article{li2026triplen,
    title = {Triple-N dataset: large-scale fMRI-guided dense recordings of nonhuman
             primate neural responses to natural scenes},
    author = {Li, Yipeng and Liu, Xieyi and Li, Wanru and Yang, Jia and Gong, Baoqi
              and Jin, Wei and Gong, Zhengxin and Wang, Kesheng and Luo, Jingqiu
              and Zhao, Zishuo and Bao, Pinglei},
    journal = {Nature Neuroscience},
    year = {2026},
    doi = {10.1038/s41593-026-02322-z},
    url = {https://doi.org/10.1038/s41593-026-02322-z},
}

Ceiling

0.67.

Note that scores are relative to this ceiling.

Data: Li2026.V1

Metric: ridgecv