mvpa2.measures.rsaΒΆ
Representational (dis)similarity analysis

Classes
CDist (**kwargs) |
Compute cross-validated dissimiliarity matrix for samples in a dataset |
PDist (**kwargs) |
Compute dissimiliarity matrix for samples in a dataset |
PDistConsistency (**kwargs) |
Calculate the correlations of PDist measures across chunks |
PDistTargetSimilarity (target_dsm, **kwargs) |
Calculate the correlations of PDist measures with a target |
Regression (predictors[, keep_pairs]) |
Given a dataset, compute regularized regression (Ridge or Lasso) on the computed neural dissimilarity matrix using an arbitrary number of predictors (model dissimilarity matrices). |