Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models
Fig 5
Scaling properties of shared dimensionality and percent shared variance with neuron and trial count in spiking network models.
The dshared and percent shared variance over a range of (A) neuron counts and (B) trial counts from clustered (filled circles) and non-clustered (open circles) networks. Circles represent mean across the five non-overlapping sets of neurons and five non-overlapping sets of trials (25 total sets) and error bars represent standard error across all sets. Standard error was generally very small and therefore error bars are not visible for most data points.