The remarkable anatomical homeostasis exhibited by complex living organisms suggests
that they are inherently reprogrammable information-processing systems that offer …

Brain–machine interfaces (BMIs) aim to treat sensorimotor neurological disorders by
creating artificial motor and/or sensory pathways. Introducing artificial pathways creates new …

Multiscale neurophysiology reveals that simple motor actions are associated with changes
in neuronal firing in virtually every brain region studied. Accordingly, the assessment of focal …

Neural decoding aims to extract information from neurons' activities to reveal how the brain
functions. Due to the inherent spatial and temporal characteristics of brain signals, spatio …

Recording neuronal activity using multiple electrodes has been widely used to understand
the functional mechanisms of the brain. Increasing the number of electrodes allows us to …

Artificial intelligence is a powerful tool that could be deployed to accelerate the scientific
enterprise. Here we address a major unmet need: use of existing scientific literature to …

Fundamental principles underlying computation in multi-scale brain networks illustrate how
multiple brain areas and their coordinated activity give rise to complex cognitive functions …

Objective. Learning dynamical latent state models for multimodal spiking and field potential
activity can reveal their collective low-dimensional dynamics and enable better decoding of …

Accurately decoding external variables from observations of neural activity is a major
challenge in systems neuroscience. Bayesian decoders, which provide probabilistic …

Hippocampal seizures are a defining feature of mesial temporal lobe epilepsy (MTLE). Area
CA1 of the hippocampus is commonly implicated in the generation of seizures, which may …