mvpa2.algorithms.hyperalignmentΒΆ
Transformation of individual feature spaces into a common space
The Hyperalignment
class in this module implements an algorithm
published in Haxby et al., Neuron (2011) A common,
high-dimensional model of the representational space in human ventral temporal
cortex.

Functions
get_trained_mapper (ds, commonspace, mapper) |
Trains a given mapper using dataset and commonspace and computes residuals if necessary. |
mean_axis0 (a) |
|
mean_xy (x, y) |
Classes
Hyperalignment (**kwargs) |
Align the features across multiple datasets into a common feature space. |