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("SanghaviMurty2020.IT-pls")
score = benchmark(my_model)

Model scores

Min Alignment Max Alignment

Rank

Model

Score

1
.458
2
.455
3
.453
4
.453
5
.449
6
.449
7
.440
8
.437
9
.437
10
.437
11
.436
12
.436
13
.433
14
.430
15
.429
16
.428
17
.428
18
.426
19
.425
20
.425
21
.425
22
.425
23
.424
24
.424
25
.423
26
.421
27
.421
28
.420
29
.420
30
.419
31
.419
32
.419
33
.418
34
.418
35
.417
36
.417
37
.416
38
.416
39
.416
40
.416
41
.415
42
.415
43
.413
44
.411
45
.411
46
.410
47
.410
48
.410
49
.409
50
.409
51
.408
52
.408
53
.408
54
.407
55
.407
56
.406
57
.406
58
.405
59
.402
60
.402
61
.401
62
.401
63
.400
64
.400
65
.400
66
.399
67
.399
68
.398
69
.398
70
.398
71
.397
72
.396
73
.395
74
.395
75
.394
76
.394
77
.393
78
.392
79
.391
80
.391
81
.391
82
.390
83
.390
84
.389
85
.389
86
.389
87
.388
88
.388
89
.386
90
.386
91
.385
92
.384
93
.384
94
.384
95
.384
96
.383
97
.383
98
.383
99
.383
100
.382
101
.382
102
.381
103
.381
104
.380
105
.379
106
.379
107
.379
108
.379
109
.379
110
.378
111
.378
112
.378
113
.378
114
.378
115
.377
116
.377
117
.376
118
.376
119
.376
120
.375
121
.375
122
.375
123
.375
124
.374
125
.374
126
.373
127
.373
128
.373
129
.372
130
.372
131
.371
132
.371
133
.371
134
.370
135
.370
136
.370
137
.370
138
.369
139
.369
140
.368
141
.368
142
.367
143
.367
144
.366
145
.366
146
.366
147
.365
148
.365
149
.364
150
.364
151
.364
152
.363
153
.363
154
.363
155
.362
156
.362
157
.362
158
.362
159
.362
160
.362
161
.361
162
.361
163
.361
164
.360
165
.360
166
.360
167
.360
168
.360
169
.360
170
.360
171
.360
172
.359
173
.359
174
.358
175
.358
176
.357
177
.357
178
.356
179
.356
180
.356
181
.356
182
.356
183
.356
184
.355
185
.355
186
.355
187
.355
188
.354
189
.354
190
.354
191
.354
192
.354
193
.354
194
.354
195
.353
196
.352
197
.352
198
.351
199
.351
200
.351
201
.351
202
.350
203
.349
204
.349
205
.349
206
.348
207
.348
208
.348
209
.347
210
.347
211
.346
212
.346
213
.346
214
.345
215
.344
216
.344
217
.344
218
.344
219
.343
220
.343
221
.343
222
.342
223
.341
224
.341
225
.341
226
.341
227
.341
228
.340
229
.340
230
.339
231
.339
232
.339
233
.338
234
.338
235
.338
236
.336
237
.336
238
.335
239
.335
240
.334
241
.334
242
.334
243
.334
244
.332
245
.332
246
.331
247
.331
248
.331
249
.330
250
.330
251
.329
252
.328
253
.328
254
.328
255
.328
256
.328
257
.327
258
.327
259
.326
260
.325
261
.322
262
.322
263
.322
264
.321
265
.321
266
.320
267
.320
268
.319
269
.317
270
.316
271
.315
272
.315
273
.315
274
.314
275
.314
276
.314
277
.314
278
.313
279
.313
280
.313
281
.313
282
.313
283
.313
284
.313
285
.313
286
.313
287
.313
288
.312
289
.312
290
.312
291
.311
292
.311
293
.309
294
.309
295
.308
296
.308
297
.308
298
.306
299
.306
300
.306
301
.305
302
.304
303
.302
304
.302
305
.301
306
.301
307
.300
308
.298
309
.296
310
.296
311
.295
312
.295
313
.294
314
.290
315
.288
316
.288
317
.287
318
.285
319
.284
320
.283
321
.282
322
.281
323
.279
324
.279
325
.270
326
.268
327
.267
328
.265
329
.262
330
.261
331
.256
332
.255
333
.253
334
.250
335
.245
336
.241
337
.239
338
.237
339
.235
340
.234
341
.229
342
.227
343
.223
344
.219
345
.216
346
.213
347
.211
348
.208
349
.207
350
.190
351
.187
352
.186
353
.185
354
.185
355
.180
356
.179
357
.178
358
.176
359
.175
360
.173
361
.171
362
.171
363
.169
364
.167
365
.160
366
.158
367
.156
368
.153
369
.152
370
.152
371
.150
372
.150
373
.148
374
.144
375
.140
376
.134
377
.133
378
.132
379
.103
380
.095
381
.076
382
.072
383
.054
384
.031
385
.030
386
.015
387
.013
388
X
389
X
390
X
391
X
392
X
393
X
394
X
395
X
396
X
397
X
398
X
399
X
400
X
401
X
402
X
403
X
404
X
405
X
406
X
407
X
408
X
409
X
410
X
411
X
412
X
413
X
414
X
415
X
416
X

Benchmark bibtex

@misc{Sanghavi_Murty_DiCarlo_2021,
  title={SanghaviMurty2020},
  url={osf.io/fchme},
  DOI={10.17605/OSF.IO/FCHME},
  publisher={OSF},
  author={Sanghavi, Sachi and Murty, N A R and DiCarlo, James J},
  year={2021},
  month={Nov}
}

Ceiling

0.88.

Note that scores are relative to this ceiling.

Data: SanghaviMurty2020.IT

300 stimuli recordings from 29 sites in IT

Metric: pls