A Toolbox for Representational Similarity Analysis
MRC Cognition and Brain Sciences Unit · University of Bath · +1 more institution
Abstract
Neuronal population codes are increasingly being investigated with multivariate pattern-information analyses. A key challenge is to use measured brain-activity patterns to test computational models of brain information processing. One approach to this problem is representational similarity analysis (RSA), which characterizes a representation in a brain or computational model by the distance matrix of the response patterns elicited by a set of stimuli. The representational distance matrix encapsulates what distinctions between stimuli are emphasized and what distinctions are de-emphasized in the representation. A model is tested by comparing the representational distance matrix it predicts to that of a measured…
Citation impact
- FWCI
- 25.89
- Percentile
- 100%
- References
- 48
Authors
6Topics & keywords
- Computer science
- Artificial intelligence
- Population
- Linear discriminant analysis
- Toolbox
- Inference
- Similarity (geometry)
- Representation (politics)
- Reduced inequalities