Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models
Fig 6
Scaling properties of shared dimensionality and percent shared variance with large neuron and trial counts 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. Insets zoom in on range of neurons used in in vivo recordings in Fig 3. 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.