Scores on benchmarks

Model rank shown below is with respect to all public models.

How to use

from brainscore_vision import load_model
model = load_model("deepeisnn_cifar10_resnet18_lif")
model.start_task(...)
model.start_recording(...)
model.look_at(...)

Brain Encoding Response Generator (BERG)

Through the BERG you can easily generate neural responses to images of your choice using any Brain-Score vision model.

For more information on how to use BERG, see the documentation and tutorial.

Benchmarks bibtex

@article{geirhos2021partial,
              title={Partial success in closing the gap between human and machine vision},
              author={Geirhos, Robert and Narayanappa, Kantharaju and Mitzkus, Benjamin and Thieringer, Tizian and Bethge, Matthias and Wichmann, Felix A and Brendel, Wieland},
              journal={Advances in Neural Information Processing Systems},
              volume={34},
              year={2021},
              url={https://openreview.net/forum?id=QkljT4mrfs}
        }
        

Layer Commitment

No layer commitments found for this model. Older submissions might not have stored this information but will be updated when evaluated on new benchmarks.

Visual Angle

None degrees