Leaderboard Explore Compare Profile Community Blog FAQ Competition 2024 Report Issue

Sample stimuli

How to use

from brainscore_vision import load_benchmark
benchmark = load_benchmark("Li2026.IT-ridgecv")
score = benchmark(my_model)

Benchmark API

Code examples

Model scores

Score Legend Min Alignment Max Alignment

Rank	Model	Score
1	resnet50_robust_l2_eps1	.275
2	ReAlnet01_cornet_fov12	.268
3	resnet50-moclr8deg	.268
4	shufflenet_v2_x1_0	.266
5	ReAlnet01_cornet_fov16	.266
6	convnext_tiny:in12k_ft_in1k	.265
7	custom_model_cv_18_dagger_408	.264
8	resnet50_ewconplus_wzc	.263
9	VOneCORnet-S	.262
10	convnext_base_imagenet_full_seed-0	.261
11	ReAlnet08_cornet	.260
12	convnext_large_imagenet_full_seed-0	.259
13	ReAlnet03_cornet	.258
14	voneresnet-50	.258
15	ReAlnet02_cornet	.258
16	ReAlnet01_cornet	.258
17	ReAlnet10_cornet	.258
18	ReAlnet07_cornet	.257
19	convnext_large:fb_in22k_ft_in1k	.257
20	ReAlnet06_cornet	.256
21	ReAlnet05_cornet	.256
22	densenet-121	.256
23	resnet50-SIN_IN	.256
24	ReAlnet09_cornet	.255
25	ReAlnet04_cornet	.255
26	resnet50_ecoset_full	.254
27	voneresnet-50-non_stochastic	.254
28	resnet50-SIN_IN_IN	.253
29	vit_large_patch14_clip_224:laion2b_ft_in12k_in1k	.253
30	seresnext50_32x4d	.252
31	resnet50_imagenet_full	.251
32	deit_base_imagenet_full_seed-0	.250
33	resnet50-vitoimagevidnet8	.250
34	resnet50-VITO-8deg-cc	.250
35	vit_base_patch16_clip_224:openai_ft_in12k_in1k	.250
36	vit_relpos_base_patch16_clsgap_224:sw_in1k	.248
37	AT_efficientnet-b2	.248
38	AdvProp_efficientnet-b2	.248
39	convnext_base:clip_laiona_augreg_ft_in1k_384	.247
40	deit_large_imagenet_full_seed-0	.247
41	Res2Net50_26w_4s	.247
42	convnext_femto_ols:d1_in1k	.247
43	antialiased-r50	.247
44	deit_small_imagenet_full_seed-0	.247
45	focalnet_tiny_lrf_in1k	.246
46	resnet_50_v1_spiking	.246
47	resnet_50_v1	.246
48	resnet50-sup	.246
49	alexnet	.245
50	efficientnet_b0	.245
51	resnet50_byol_linhead	.245
52	convnext_small_imagenet_full_seed-0	.244
53	resnet50_tutorial	.244
54	AdvProp_efficientnet-b8	.244
55	AdvProp_efficientnet-b6	.244
56	resnet50_vicreg_linhead	.243
57	convnext_tiny_imagenet_full_seed-0	.243
58	vit_base_patch16_clip_224:openai_ft_in1k	.242
59	resnet50_simclr_linhead_01norm	.242
60	vit_relpos_base_patch32_plus_rpn_256:sw_in1k	.242
61	resnet50_barlowtwins_linhead	.242
62	effnetb1_cutmix_augmix_sam_e1_5avg_424x377	.242
63	resnet152_imagenet_full	.241
64	resnet50_simsiam_linhead	.241
65	dinov2_vitl14_lc	.241
66	mobilenet_v2_1_4_224	.240
67	resnet101_ecoset_full	.240
68	AdvProp_efficientnet-b7	.240
69	AdvProp_efficientnet-b4	.240
70	effnetb1_272x240	.240
71	vit_large_patch14_clip_336:laion2b_ft_in1k	.239
72	resnext101_32x16d_wsl	.239
73	vit_large_patch14_clip_224:openai_ft_in1k	.239
74	convnext_xxlarge:clip_laion2b_soup_ft_in1k	.239
75	efficientnet_b2_imagenet_full	.239
76	resnet_50_v2	.239
77	resnet50-SIN	.238
78	resnext101_32x48d_wsl	.238
79	vit_large_patch14_clip_224:openai_ft_in12k_in1k	.238
80	vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k	.237
81	vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k	.237
82	vit_large_patch14_clip_336:openai_ft_in12k_in1k	.237
83	resnet-50-robust	.237
84	eicircuit_resnet18_bn_20260919	.237
85	efficientnet_b1_imagenet_full	.236
86	resnet18_ecoset_full	.235
87	resnet152_ecoset_full	.235
88	resnext101_32x32d_wsl	.234
89	resnet_SIN_IN_FT_IN	.234
90	resnet18_imagenet_full	.234
91	vit_large_patch14_clip_224:laion2b_ft_in1k	.232
92	efficientnet_b0_imagenet_full	.230
93	resnet101_imagenet_full	.229
94	resnet34_ecoset_full	.226
95	convnext_xlarge:fb_in22k_ft_in1k	.226
96	dinov2_vitl14_reg_lc	.224
97	regnety_032	.223
98	resnet50_imagenet_100_seed-0	.223
99	pnasnet_large_halfPrecision	.222
100	mehrer2020_alexnet_training_seed_02	.222
101	mehrer2020_alexnet_training_seed_05	.220
102	mehrer2020_alexnet_training_seed_03	.220
103	effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288	.220
104	mehrer2020_alexnet_training_seed_08	.218
105	convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384	.218
106	mehrer2020_alexnet_training_seed_10	.218
107	mehrer2020_alexnet_training_seed_06	.217
108	mehrer2020_alexnet_training_seed_07	.217
109	AlexNet_SIN	.216
110	mehrer2020_alexnet_training_seed_01_fov12	.216
111	mehrer2020_alexnet_training_seed_09	.216
112	cvt_cvt-w24-384-in22k_finetuned-in1k_4	.215
113	ijepa_vith14_linhead	.215
114	cvt_cvt-13-224-in1k_4_LucyV4	.213
115	resnet34_imagenet_full	.213
116	cvt_cvt-13-384-in22k_finetuned-in1k_4_LucyV4	.213
117	ReAlnet01_cornet_fov4	.212
118	swin_small_patch4_window7_224:ms_in22k_ft_in1k	.210
119	resnext101_32x8d_wsl	.208
120	convnext_tiny_sup	.208
121	mehrer2020_alexnet_training_seed_01	.205
122	mehrer2020_alexnet_training_seed_04	.204
123	cvt_cvt-13-384-in1k_4_LucyV4	.203
124	cvt_cvt-21-384-in1k_4_LucyV4	.199
125	grcnn	.198
126	mehrer2020_alexnet_training_seed_01_fov4	.195
127	cvt_cvt-21-224-in1k_4_LucyV4	.194
128	cvt_cvt-21-384-in22k_finetuned-in1k_4_LucyV4	.191
129	effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288	.191
130	ViT_L_32_imagenet1k	.190
131	AlexNet_SIN_fov12	.179
132	mehrer2020_alexnet_training_seed_01_fov16	.177
133	convnext_small_imagenet_100_seed-0	.165
134	AlexNet_SIN_fov4	.158
135	AlexNet_SIN_fov16	.154
136	deit_small_imagenet_100_seed-0	.128
137	gabor_filter_entropy_4x4_v2	.055
138	alexnet_training_seed_02	.055
139	gabor_filter_entropy_4x4	.054
140	gabor_filter_entropy_4x4_v2_forcedCosine	.054
141	alexnet_training_seed_03	.054
142	alexnet_training_seed_01	.054
143	alexnet_training_seed_07	.053
144	alexnet_training_seed_10	.053
145	alexnet_training_seed_09	.050
146	alexnet_training_seed_06	.048
147	hmax	.047
148	gabor_filter_mean_abs_4x4_v2	.039
149	compact_resnet50_robust_V4	.032

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

0.64.

Note that scores are relative to this ceiling.

Data: Li2026.IT

Metric: ridgecv