Rodrigo A. Bermudez

Scaling Laws for Linear Neural Population Decoders in Macaque Motor Cortex: Neuron Count, Training Data, and Dimensionality

This study investigates scaling behavior of linear population decoders for motor cortex neural spike data as a function of simultaneously recorded neuron count and training set size within the context of computational neuroscience and neural data analysis, an area of growing scientific importance given its implications...