Advances in our understanding of brain function, along with the development of neural
interfaces that allow for the monitoring and activation of neurons, have paved the way for …

While neural plasticity has long been studied as the basis of learning, the growth of large-
scale neural recording techniques provides a unique opportunity to study how learning …

Advances in neural recording present increasing opportunities to study neural activity in
unprecedented detail. Latent variable models (LVMs) are promising tools for analyzing this …

Our ability to use deep learning approaches to decipher neural activity would likely benefit
from greater scale, in terms of both the model size and the datasets. However, the …

The neural population spiking activity recorded by intracortical brain-computer interfaces
(iBCIs) contain rich structure. Current models of such spiking activity are largely prepared for …

Aligning latent representations of neural activity | Nature Biomedical Engineering Skip to main
content Thank you for visiting nature.com. You are using a browser version with limited support …

Intracortical brain-computer interfaces (iBCIs) restore motor function to people with paralysis
by translating brain activity into control signals for external devices. In current iBCIs …

The existence of a multiple-demand cortical system with an adaptive, domain-general, role
in cognition has been proposed, but the underlying dynamic mechanisms and their links to …

Meaningful and simplified representations of neural activity can yield insights into how and
what information is being processed within a neural circuit. However, without labels, finding …

Complex time-varying systems are often studied by abstracting away from the dynamics of
individual components to build a model of the population-level dynamics from the start …