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.IT-rdm")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.498
2
.489
3
.464
4
.464
5
.459
6
.458
7
.451
8
.448
9
.443
10
.443
11
.440
12
.439
13
.437
14
.436
15
.434
16
.432
17
.431
18
.431
19
.431
20
.429
21
.428
22
.427
23
.427
24
.425
25
.424
26
.423
27
.423
28
.423
29
.422
30
.410
31
.407
32
.407
33
.407
34
.407
35
.403
36
.403
37
.402
38
.402
39
.401
40
.401
41
.400
42
.400
43
.399
44
.397
45
.397
46
.396
47
.396
48
.393
49
.393
50
.393
51
.392
52
.391
53
.391
54
.391
55
.391
56
.391
57
.390
58
.389
59
.388
60
.386
61
.382
62
.381
63
.380
64
.379
65
.377
66
.375
67
.375
68
.374
69
.370
70
.369
71
.367
72
.366
73
.364
74
.363
75
.362
76
.362
77
.359
78
.355
79
.354
80
.354
81
.353
82
.352
83
.352
84
.350
85
.348
86
.347
87
.346
88
.345
89
.344
90
.342
91
.342
92
.341
93
.339
94
.334
95
.334
96
.334
97
.334
98
.331
99
.330
100
.329
101
.328
102
.318
103
.316
104
.316
105
.312
106
.293
107
.276
108
.273
109
.267
110
.266
111
.262
112
.261
113
.251
114
.247
115
.240
116
.238
117
.225
118
.224
119
.222
120
.219
121
.213
122
.210
123
.209
124
.207
125
.207
126
.196
127
.178
128
.165
129
.159
130
.147
131
.140
132
.132
133
.131
134
.121
135
.115
136
.107
137
.095
138
.089
139
.085
140
.083
141
.080
142
.048
143
.025
144
.000
145
.000
146
.000
147
.000
148
.000
149
.000

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

0.60.

Note that scores are relative to this ceiling.

Data: Li2026.IT

Metric: rdm