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deeprecon_pyfastl2lir_alpha100_vgg19_allunits.yaml
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# DNN feature decoding
decoder:
name: deeprecon_fmriprep_pyfastl2lir_alpha100_allunits
path: ./data/feature_decoders/ImageNetTraining/${decoder.name}/${decoder.features.name}
parameters:
alpha: 100
chunk_axis: 1
fmri:
name: ImageNetTraining_fmriprep_volume_native_vc
subjects:
#- name: sub-01
# paths:
# - ./data/fmri/Deeprecon/sub-01_${decoder.fmri.name}.h5
#- name: sub-02
# paths:
# - ./data/fmri/Deeprecon/sub-02_${decoder.fmri.name}.h5
- name: sub-03
paths:
- ./data/fmri/Deeprecon/sub-03_${decoder.fmri.name}.h5
rois:
#- {name: V1, select: ROI_V1 = 1, num: 500}
#- {name: V2, select: ROI_V2 = 1, num: 500}
#- {name: V3, select: ROI_V3 = 1, num: 500}
#- {name: hV4, select: ROI_hV4 = 1, num: 500}
#- {name: LOC, select: ROI_LOC = 1, num: 500}
#- {name: FFA, select: ROI_FFA = 1, num: 500}
#- {name: PPA, select: ROI_PPA = 1, num: 500}
#- {name: LVC, select: ROI_LVC = 1, num: 500}
#- {name: HVC, select: ROI_HVC = 1, num: 500}
- {name: VC, select: ROI_VC = 1, num: 500}
label_key: stimulus_name
features:
name: caffe/VGG19
paths:
- ./data/features/ImageNetTraining/${decoder.features.name}
layers:
#- conv1_1
#- conv1_2
#- conv2_1
#- conv2_2
#- conv3_1
#- conv3_2
#- conv3_3
#- conv3_4
#- conv4_1
#- conv4_2
#- conv4_3
#- conv4_4
#- conv5_1
#- conv5_2
#- conv5_3
#- conv5_4
- fc6
- fc7
- fc8
decoded_feature:
name: train_deeprecon_rep5_test_ImageNetTest_fmriprep_pyfastl2lir_alpha100_allunits
path: ./data/decoded_features/ImageNetTest/${decoded_feature.name}/${decoded_feature.features.name}
parameters:
average_sample: true
decoder:
name: deeprecon_fmriprep_pyfastl2lir_alpha100_allunits
path: ./data/feature_decoders/ImageNetTraining/${decoder.name}/${decoder.features.name}
fmri:
name: ImageNetTest_fmriprep_volume_native_vc
subjects:
#- name: sub-01
# paths:
# - ./data/fmri/Deeprecon/sub-01_${decoded_feature.fmri.name}.h5
#- name: sub-02
# paths:
# - ./data/fmri/Deeprecon/sub-02_${decoded_feature.fmri.name}.h5
- name: sub-03
paths:
- ./data/fmri/Deeprecon/sub-03_${decoded_feature.fmri.name}.h5
rois:
#- {name: V1, select: ROI_V1 = 1}
#- {name: V2, select: ROI_V2 = 1}
#- {name: V3, select: ROI_V3 = 1}
#- {name: hV4, select: ROI_hV4 = 1}
#- {name: LOC, select: ROI_LOC = 1}
#- {name: FFA, select: ROI_FFA = 1}
#- {name: PPA, select: ROI_PPA = 1}
#- {name: LVC, select: ROI_LVC = 1}
#- {name: HVC, select: ROI_HVC = 1}
- {name: VC, select: ROI_VC = 1}
label_key: stimulus_name
exclude_labels:
features:
name: caffe/VGG19
paths:
- ./data/features/ImageNetTest/${decoded_feature.features.name}
layers:
#- conv1_1
#- conv1_2
#- conv2_1
#- conv2_2
#- conv3_1
#- conv3_2
#- conv3_3
#- conv3_4
#- conv4_1
#- conv4_2
#- conv4_3
#- conv4_4
#- conv5_1
#- conv5_2
#- conv5_3
#- conv5_4
- fc6
- fc7
- fc8