Memory reactivations and replay, widely reported in the hippocampus and cortex across
species, have been implicated in memory consolidation, planning, and spatial and skill …

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 …

Neuropsychiatric disorders such as major depression are a leading cause of disability
worldwide with standard treatments, including psychotherapy or medication, failing many …

Objective. When making decisions, humans can evaluate how likely they are to be correct. If
this subjective confidence could be reliably decoded from brain activity, it would be possible …

Objective. Investigating neural population dynamics underlying behavior requires learning
accurate models of the recorded spiking activity, which can be modeled with a Poisson …

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 …

The detection of events in time-series data is a common signal-processing problem. When
the data can be modeled as a known template signal with an unknown delay in Gaussian …

In neuroscience, functional connectivity can be seen as a graph of interactions between
brain oscillations rhythms and individual neuronal activity. This graph is associated with a …

Large-scale recordings of neural activity over broad anatomical areas with high spatial and
temporal resolution are increasingly common in modern experimental neuroscience …