rsatoolbox.inference.noise_ceiling module

calculation of noise ceilings

rsatoolbox.inference.noise_ceiling.boot_noise_ceiling(rdms, method='cosine', rdm_descriptor='index')[source]

calculates a noise ceiling by leave one out & full set

Parameters
  • rdms (rsatoolbox.rdm.RDMs) – data to calculate noise ceiling

  • method (string) – comparison method to use

  • rdm_descriptor (string) – descriptor to group rdms

Returns

[lower nc-bound, upper nc-bound]

Return type

list

rsatoolbox.inference.noise_ceiling.cv_noise_ceiling(rdms, ceil_set, test_set, method='cosine', pattern_descriptor='index')[source]

calculates the noise ceiling for crossvalidation. The upper bound is calculated by pooling all rdms for the appropriate patterns in the testsets. the lower bound is calculated by using only the appropriate rdms from ceil_set for training.

Parameters
  • rdms (rsatoolbox.rdm.RDMs) – complete data

  • ceil_set (list) – a list of the training RDMs with 2-tuple entries: (RDMs, pattern_idx)

  • test_set (list) – a list of the test RDMs with 2-tuple entries: (RDMs, pattern_idx)

  • method (string) – comparison method to use

  • pattern_descriptor (string) – descriptor to group patterns

Returns

lower nc-bound, upper nc-bound

Return type

list