Model specification

• Common inputs

  • condition (valid + nuisance)
    • name
    • file or (onset, duration, amplitude)
    • temporal modulators
    • parametric modulators
    • convolution kernel index/name
  • list of kernels
    • dgamma (params: temporal derivative, ???)
    • boxcar (params: window, ???)
  • functional data
  • TR == TA (time of acquisition, repetition - see Sparse below)
  • high pass cutoff
  • temporal whitening

• SPM specific

  • concatenate runs (for multi run designs)
  • kernels
    • dgamma (dispersion derivative?)

• FSL specific

  • kernels
    • flobs

• Sparse specific (create a generic Sparse and then a SparseSPM and SparseFSL

  • TA
  • nvols per cluster
  • use kernel
  • use temporal derivative