Neural dynamics can reflect intrinsic dynamics or dynamic inputs, such as sensory inputs or
inputs from other brain regions. To avoid misinterpreting temporally structured inputs as …

Latent dynamics models have emerged as powerful tools for modeling and interpreting
neural population activity. Recently, there has been a focus on incorporating simultaneously …

Highlights•Behavioral diversity can be leveraged to reveal neural circuit functions.•Complex
tasks allow inference of latent behavioral variables to relate to neural activity.•Movements …

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 …

An important problem in systems neuroscience is to identify the latent dynamics underlying
neural population activity. Here we address this problem by introducing a low-dimensional …

Spiking activity from neurophysiological experiments often exhibits dynamics beyond that
driven by external stimulation, presumably reflecting the extensive recurrence of neural …

A long-lasting challenge in neuroscience has been to find a set of principles that could be
used to organize the brain into distinct areas with specific functions. Recent studies have …

Highlights•Latent variable (LV) models are often used to visualize neural population
activity.•New analyses must go beyond visualization and relate explicitly to …

The advent of large-scale neural recordings has enabled new approaches that aim to
discover the computational mechanisms of neural circuits by understanding the rules that …

Neuroscientists today can measure activity from more neurons than ever before, and are
facing the challenge of connecting these brain-wide neural recordings to computation and …