Highlights•Experimental advances allow us to see long-term drift in neural
representations.•Drift challenges classical notions of receptive fields and engrams.•Drift is …

Modern recording technologies now enable simultaneous recording from large numbers of
neurons. This has driven the development of new statistical models for analyzing and …

Understanding the mechanisms of neural computation and learning will require knowledge
of the underlying circuitry. Because it is difficult to directly measure the wiring diagrams of …

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 …

Cortical networks that have been found to operate close to a critical point exhibit joint
activations of large numbers of neurons. However, in motor cortex of the awake macaque …

Relating neural activity to behavior requires an understanding of how neural computations
arise from the coordinated dynamics of distributed, recurrently connected neural …

The neural dynamics generating sensory, motor, and cognitive functions are commonly
understood through field theories for neural population activity. Classic neural field theories …

The dimensionality of a network's collective activity is of increasing interest in neuroscience.
This is because dimensionality provides a compact measure of how coordinated network …

Bottom-up models of functionally relevant patterns of neural activity provide an explicit link
between neuronal dynamics and computation. A prime example of functional activity …

The interpretation of neuronal spike train recordings often relies on abstract statistical
models that allow for principled parameter estimation and model selection but provide only …