A multivariate method to determine the dimensionality of neural representation from population activity.
Jörn DiedrichsenTobias WiestlerNaveed EjazPublished in: NeuroImage (2013)
Keyphrases
- significant improvement
- cost function
- experimental evaluation
- data sets
- similarity measure
- objective function
- template matching
- dynamic programming
- computational cost
- classification accuracy
- segmentation method
- multivariate time series
- convergence rate
- high precision
- detection method
- model selection
- high accuracy
- support vector machine
- high dimensional
- bayesian networks
- learning algorithm