Neurite geometry enables expansive and highly-branched neuronal structures to operate like single electrical compartments and simple linear integrators.

Animal-to-animal variability in neuronal geometry may be compensated for by compact electrotonic structure.

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

A large interneuron in the Drosophila mushroom body has compartmentalized activity, which causes localized inhibition and predicts that Kenyon cells inhibit themselves more than they inhibit other individual Kenyon cells.

Similar to their mouse counterparts, human neurogliaform cells that comprise a specialized from of inhibitory neuron, possess the ability to modulate their intrinsic excitability in response to ongoing network activity.

Patch-clamp electrophysiology, fluorescence imaging, and computational modeling were used to identify cellular mechanisms underlying maturation of dendritic computations in interneurons.

A disinhibitory motif in the retina mediates noise resilience of motion detection using an inverted algorithm of disinhibition due to the interplay between network activity and synaptic plasticity.

Computational modeling of a central decision neuron of Drosophila reveals an electrotonically compact architecture that is ideally suited to support efficient memory storage within a stochastically connected memory circuit.

Elaborate dendritic branch patterns lead to a local and branch-specific reduction in impedance, which attenuates back-propagating action potentials and limits voltage-gated calcium influx.

Active dendritic processing enables an individual neuron to discriminate the spatial pattern of synaptic inputs, increasing neural and behavioral selectivity for escaping an impending threat.