Measuring and modeling the brain at multiple spatiotemporal scales are important for
studying brain function and developing high-performance brain-machine interfaces. To …

Technological advances have enabled the simultaneous recording of multiscale neural
activity consisting of spikes, local field potential (LFP), and electrocorticogram (ECoG) …

Objective. Behavior is encoded across multiple scales of brain activity, from binary neuronal
spikes to continuous fields including local field potentials (LFP). Multiscale models need to …

Simultaneous recordings of spikes and fields could enable analyses of functional
connectivity in the brain at multiple spatiotemporal scales. However, these analyses require …

Behavior is encoded across spatiotemoral scales of brain activity, from small-scale spikes to
large-scale local field potentials (LFP). Identifying the functional dependence between …

Neural representations span various spatiotemporal scales of brain activity, from the spiking
activity of single neurons to field activity measuring large-scale networks. The simultaneous …

Visualizing the collective modulation of multiple neurons during a known behavioral task is
useful for exploratory analysis, but handling the large dimensionality of neural recordings is …

Dynamical encoding models characterize neural activity with low-dimensional hidden states
that dynamically evolve in time and gienerate behavior. Current methods have identified …

Objective. Behavior is encoded across multiple spatiotemporal scales of brain activity.
Modern technology can simultaneously record various scales, from spiking of individual …

Brain-machine interfaces (BMI) have vastly used a single scale of neural activity, eg, spikes
or electrocorticography (ECoG), as their control signal. New technology allows for …