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Stimulus onset quenches neural variability: a widespread cortical phenomenon
Neural responses are typically characterized by computing the mean firing rate, but response variability can exist across trials. Many studies have examined the effect of a stimulus on the meanExpand
A High-Performance Neural Prosthesis Enabled by Control Algorithm Design
TLDR
We present a new control algorithm, the recalibrated feedback intention–trained Kalman filter (ReFIT-KF) that incorporates assumptions about the nature of closed-loop neural prosthetic control. Expand
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
TLDR
We first describe extensions of the two-stage methods that allow the degree of smoothing to be chosen in principled way and that account for spiking variability, which may vary both across neurons and across time. Expand
Neural Variability in Premotor Cortex Provides a Signature of Motor Preparation
We present experiments and analyses designed to test the idea that firing rates in premotor cortex become optimized during motor preparation, approaching their ideal values over time. We measured theExpand
Dimensionality reduction for large-scale neural recordings
TLDR
We describe the dimensionality reduction methods commonly applied to population activity and offer practical advice about selecting methods and interpreting their outputs. Expand
A high-performance brain–computer interface
TLDR
We present the design and demonstration, using electrode arrays implanted in monkey dorsal premotor cortex, of a manyfold higher performance BCI than previously reported. Expand
Neural constraints on learning
TLDR
We used a closed-loop intracortical brain–computer interface learning paradigm in which Rhesus macaques (Macaca mulatta) controlled a computer cursor by modulating neural activity patterns in the primary motor cortex. Expand
Empirical models of spiking in neural populations
TLDR
We argue that in the cortex, where firing exhibits extensive correlations in both time and space and where a typical sample of neurons still reflects only a very small fraction of the local population, the most appropriate model captures shared variability by a low-dimensional latent process evolving with smooth dynamics, rather than by putative direct coupling. Expand
Single-Neuron Stability during Repeated Reaching in Macaque Premotor Cortex
Some movements that animals and humans make are highly stereotyped, repeated with little variation. The patterns of neural activity associated with repeats of a movement may be highly similar, or theExpand
Reference frames for reach planning in macaque dorsal premotor cortex.
When a human or animal reaches out to grasp an object, the brain rapidly computes a pattern of muscular contractions that can acquire the target. This computation involves a reference frameExpand
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