From sequences of speech sounds, or letters, humans can extract rich and nuanced
meaning through language. This capacity is essential for human communication. Yet …

Objective. Individuals with neurological disease or injury such as amyotrophic lateral
sclerosis, spinal cord injury or stroke may become tetraplegic, unable to speak or even …

A central goal of systems neuroscience is to relate an organism's neural activity to behavior.
Neural population analyses often reduce the data dimensionality to focus on relevant activity …

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 …

Human social behaviour crucially depends on our ability to reason about others. This
capacity for theory of mind has a vital role in social cognition because it enables us not only …

Modelling the spatiotemporal dynamics in the activity of neural populations while also
enabling their flexible inference is hindered by the complexity and noisiness of neural …

The efficacy of wireless intracortical brain–computer interfaces (iBCIs) is limited in part by
the number of recording channels, which is constrained by the power budget of the …

Brain–machine interfaces (BMIs) promise to restore movement and communication in
people with paralysis and ultimately allow the human brain to interact seamlessly with …

The spiking activity of populations of cortical neurons is well described by the dynamics of a
small number of population-wide covariance patterns, whose activation we refer to as 'latent …

Motor function depends on neural dynamics spanning multiple spatiotemporal scales of
population activity, from spiking of neurons to larger-scale local field potentials (LFP). How …