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V1 properties data assemblies and stimulus sets #33
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Method to correct images in the movshon stimulus set by adding a cosine aperture main function should be run two times, one for each stimulus set: access='public' and access='target' saves converted image in a new folder given by the target_dir returns the converted StimulusSet with the new image_paths and new stimuli_id (with -aperture added in the end) Can be run in the command line with arparse and passing the access and target_dir parameters
# Conflicts: # mkgu_packaging/movshon/aperture_correct.py
…s benchmark in mkgu_packaging/dicarlo/marques Assembly for preferred orientation benchmark based on DeValois et al 1982a Assembly for multiple orientation and magnitude related benchmarks based on Ringach et al 2002 Stimulus sets to be used for orientation, magnitude, spatial frequency and size tuning benchmarks
mschrimpf
reviewed
Sep 25, 2020
mschrimpf
reviewed
Sep 25, 2020
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| stim = Stimulus(size_px=[size_px, size_px], type_name='blank_stim', save_dir=save_dir, stim_id=0) | ||
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| stimuli = pd.DataFrame({'image_id': str(0), 'degrees': [degrees]}) |
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I'm confused by the 'degrees' here -- at this point it's just pixels no?
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Here it is actually redundant but see below.
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should probably delete 'degrees' from here then, if there's no connection to degrees at this point
mschrimpf
reviewed
Sep 25, 2020
mschrimpf
reviewed
Sep 28, 2020
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| stim = Stimulus(size_px=[size_px, size_px], type_name='blank_stim', save_dir=save_dir, stim_id=0) | ||
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| stimuli = pd.DataFrame({'image_id': str(0), 'degrees': [degrees]}) |
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should probably delete 'degrees' from here then, if there's no connection to degrees at this point
Added spatial frequency data assemblies
mschrimpf
approved these changes
Oct 11, 2020
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will wait with merge until the corresponding PR in github.com/brain-score/brainio_collection/ is up |
Added spatial frequency, surround modulatio, and texture assemblies for V1 properties benchmarks
… for all the cells in eccentricities under 5deg and not just the central 1deg (DeValois1982a) - Same as before but for the peak spatial frequency empirical distribution (DeValois1982b) - Added sample variance and family variance to the empirical distributions (FreemanZiemba2013) - Changed grating stimulus generation procedure to allow generation of specific combinations of parameters instead of all possible combinations (this allows dependences of parameters, for example size and spatial frequency)
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Added code to generate assemblies and stimuli related to V1 properties benchmark in mkgu_packaging/dicarlo/marques
Assembly for preferred orientation benchmark based on DeValois et al 1982a
Assembly for multiple orientation and magnitude related benchmarks based on Ringach et al 2002
Stimulus sets to be used for orientation, magnitude, spatial frequency and size tuning benchmarks