DemosΒΆ

  • Getting started exercise for RSA3.0
    • Introduction
    • Exercise 1: Data and RDM handling
    • Exercise 2: Fixed model inference
    • Exercise 3: Crossvalidation for flexible models
  • Dataset objects in rsatoolbox
    • 1. Single-subject dataset example
    • Creating the dataset object
    • 2. Multi-subject dataset example
  • Estimating dissimilarities
    • Calculating our first RDM
    • accessing RDM contents
    • To access the parts of the rdms object a few functions are available:
    • diagonal covariance from measurements = univariate noise normalization
    • shrinkage estimate from measurements = multivariate noise normalization
    • estimates based on residuals
    • Computing Mahalanobis distances
  • Visualising RDMs with the 92 images dataset
    • Loading data and building RDMs instance with Icon pattern_descriptors
    • Plotting RDMs with text labels
    • Plotting with image labels
    • Optimising image label display and saving figure
    • Plot MDS
  • Demo on unbalanced designs
    • Implementation explanation
  • Temporal RSA
    • Load temporal data
    • The rsatoolbox.data.TemporalDataset class
    • create RDM movie
    • from here on
    • Model rdms
    • data - model similarity across time
  • RSA on MEG data with MNE python
    • Steps:
    • 1a) loading, downsampling, epoching, equalizing event count
    • 1b) simulate multiple subjects
    • define candidate model RDMs
  • Searchlight for RSA
    • Load data
  • How to get an average RDM from a stack of partial RDMs

rsatoolbox

Navigation

Contents:

  • Toolbox overview
  • Getting started
  • Defining the data set
  • Estimating dissimilarities
  • Operations on RDMs
  • Comparing RDMs
  • Model Specification
  • Model Fitting
  • Model Evaluation and Inference
  • Visualization
  • References
  • Demos
    • Getting started exercise for RSA3.0
    • Dataset objects in rsatoolbox
    • Estimating dissimilarities
    • Visualising RDMs with the 92 images dataset
    • Demo on unbalanced designs
    • Temporal RSA
    • RSA on MEG data with MNE python
    • Searchlight for RSA
    • How to get an average RDM from a stack of partial RDMs
  • rsatoolbox reference

  • version: 0.1.3.dev27

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  • Documentation overview
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