How to test the top-scoring Brain Score model - vonenet-resnet50-non-stochastic?

[ValerioB88]

Hi, I am trying to understand what's the correct way to test (using the pretrained model trained on ImageNet) the voneresnet-50-non_stochastic model that is currently scoring two on Brain Score.

I want the model to be pretrained on ImageNet. When loading the model through net = vonenet.get_model(model_arch='resnet50', pretrained=True) a state_dict file that already contains the noise_level, noise_scale and noise_mode parameter gets loaded (in vonenet/__init__.py line 38.
Do the pretrained model performance depends on these values to be fixed at 'neuronal', 0.35 and 0.07? Or can set one of these to 0 (which one?) and just keep using the same pretrained model for testing?

Thanks,
Valerio