Scores on benchmarks

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

.009	average_vision rank 441 81 benchmarks	.009 0 ceiling best median

.018	neural_vision rank 430 38 benchmarks	.018 0 ceiling best median

.072	V1 rank 406 24 benchmarks	.072 0 ceiling best median

.215	FreemanZiemba2013.V1-pls v2 [reference] rank 378	.215 0 ceiling best median
	recordings from 102 sites in V1

How to use

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

Model API

Code examples

Benchmarks bibtex

@Article{Freeman2013,
                author={Freeman, Jeremy
                and Ziemba, Corey M.
                and Heeger, David J.
                and Simoncelli, Eero P.
                and Movshon, J. Anthony},
                title={A functional and perceptual signature of the second visual area in primates},
                journal={Nature Neuroscience},
                year={2013},
                month={Jul},
                day={01},
                volume={16},
                number={7},
                pages={974-981},
                abstract={The authors examined neuronal responses in V1 and V2 to synthetic texture stimuli that replicate higher-order statistical dependencies found in natural images. V2, but not V1, responded differentially to these textures, in both macaque (single neurons) and human (fMRI). Human detection of naturalistic structure in the same images was predicted by V2 responses, suggesting a role for V2 in representing natural image structure.},
                issn={1546-1726},
                doi={10.1038/nn.3402},
                url={https://doi.org/10.1038/nn.3402}
                }

Layer Commitment

Region	Layer
V1	cell_list.3

Visual Angle

None degrees