Unipolar brush cells subtypes, classified by their excitatory or inhibitory response to glutamate, form circuits with one another that may enhance the capacity of the cerebellum to transform input signals.

A brain–computer interface for real-time identification of transient neural activity patterns enables causal inference of the role of these patterns in cognition through closed-loop manipulation.

A-type potassium conductances influence the distinctive firing behaviour of irregular-spiking interneurons.

Sensory receptors encode stimuli by transiently synchronizing ongoing electrical oscillations, conferring enhanced sensitivity to communication signals produced by large groups of conspecifics.

Dendrites combine the inputs that they receive from other neurons using calculations that have been optimized for those particular input patterns.

Pedunculopontine neurons can evoke burst spiking in substantia nigra dopaminergic neurons without engaging a subtype of glutamate receptor previously thought to be necessary for this spiking mode.

There is surprising functional splitting of major hippocampal GABA cell classes during high-frequency network oscillations that doubles the repertoire of spatio-temporal patterns of GABA release.

Cerebellar Purkinje neurons use a multiplexed simple spike code combining synchrony/spike time and firing rate, with each component encoding distinct information about movements such as motion onset timing and kinematics.

Apical and basal dendrites contribute differently to single-neuron orientation selectivity, highlighting the impact of feedforward and feedback signal interactions.

Short-ranged and random connectivity are sufficient to explain complex, long-range activity patterns observed in macaque motor cortex that are, moreover, flexibly adaptable to behavior.