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Found 9 papers, 3 papers with code
Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication
Our results provide the first evidence for long-term stabilization of a plug-and-play, high-performance communication iBCI, addressing a major barrier for the clinical translation of iBCIs.
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
We curate four datasets of neural spiking activity from cognitive, sensory, and motor areas to promote models that apply to the wide variety of activity seen across these areas.
Organizing recurrent network dynamics by task-computation to enable continual learning
Here, we develop a novel learning rule designed to minimize interference between sequentially learned tasks in recurrent networks.
Making brain-machine interfaces robust to future neural variability
A major hurdle to clinical translation of brain-machine interfaces (BMIs) is that current decoders, which are trained from a small quantity of recent data, become ineffective when neural recording conditions subsequently change.
High-dimensional neural spike train analysis with generalized count linear dynamical systems
Latent factor models have been widely used to analyze simultaneous recordings of spike trains from large, heterogeneous neural populations.
Dynamical segmentation of single trials from population neural data
Simultaneous recordings of many neurons embedded within a recurrently-connected cortical network may provide concurrent views into the dynamical processes of that network, and thus its computational function.
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm
The Kalman filter was trained to predict the arm’s velocity and mapped on to the SNN using the Neural Engineer- ing Framework (NEF).
Empirical models of spiking in neural populations
Neurons in the neocortex code and compute as part of a locally interconnected population.
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
We applied these methods to the activity of 61 neurons recorded simultaneously in macaque premotor and motor cortices during reach planning and execution.
