s05.ap.uber 2.3 KB

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  1. #!/usr/bin/env tcsh
  2. # created by uber_subject.py: version 0.41 (October 6, 2017)
  3. # creation date: Tue Oct 10 09:47:13 2017
  4. # (generated by s04.cmd.usubj, with -execute added)
  5. # set subject and group identifiers
  6. set subj = FT
  7. set gname = horses
  8. # set data directory
  9. set top_dir = ${subj}
  10. # run afni_proc.py to create a single subject processing script
  11. afni_proc.py -subj_id $subj \
  12. -script proc.$subj -scr_overwrite \
  13. -blocks tshift align tlrc volreg blur mask scale regress \
  14. -copy_anat $top_dir/${subj}_anat+orig \
  15. -dsets \
  16. $top_dir/${subj}_epi_r1+orig.HEAD \
  17. $top_dir/${subj}_epi_r2+orig.HEAD \
  18. $top_dir/${subj}_epi_r3+orig.HEAD \
  19. -tcat_remove_first_trs 2 \
  20. -volreg_align_to MIN_OUTLIER \
  21. -volreg_align_e2a \
  22. -volreg_tlrc_warp \
  23. -blur_size 4.0 \
  24. -regress_stim_times \
  25. $top_dir/AV1_vis.txt \
  26. $top_dir/AV2_aud.txt \
  27. -regress_stim_labels \
  28. vis aud \
  29. -regress_basis 'BLOCK(20,1)' \
  30. -regress_censor_motion 0.3 \
  31. -regress_opts_3dD \
  32. -jobs 2 \
  33. -gltsym 'SYM: vis -aud' -glt_label 1 V-A \
  34. -gltsym 'SYM: 0.5*vis +0.5*aud' -glt_label 2 mean.VA \
  35. -regress_compute_fitts \
  36. -regress_make_ideal_sum sum_ideal.1D \
  37. -regress_est_blur_epits \
  38. -regress_est_blur_errts \
  39. -regress_run_clustsim yes \
  40. -execute