A computational method reveals current sources along the dendritic tree of a single neuron of known morphology from extracellular potential.

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

A simple model of active transport in neurons allows intracellular cargo to find sites of demand using only local signals, but predicts long delays in distributing cargo throughout a dendritic tree.

An optimal wire and function trade-off emerges from noisy growth and stochastic retraction during Drosophila class I ventral posterior dendritic arborisation (c1vpda) dendrite development.

Reliable neuronal physiology can arise from variable and inefficient morphologies.

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

Morphologically-mature granule cells with complex dendritic trees contribute to a sparse representation of space in the rat dentate gyrus.

T2N, a novel interface between Matlab, TREES toolbox and NEURON, was used to generate compartmental models that reproduce the electrophysiology of dentate granule cells over a multitude of species, experimental conditions and developmental stages.

Two homologous kinesin motors, KIF5A and KIF5B, have distinct functions in dendritic spine morphogenesis, and KIF5B plays a role in synaptic plasticity and memory.

Spines with multiple excitatory contacts are potential sites for competition between thalamic and cortical axons, which is regulated by the astrocytes through the secreted synaptogenic protein hevin.