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Spine heads on the same dendrite receiving input from the same axon are the same size.

Computational modeling offers an explanation for why animals learn more quickly or slowly when their environment becomes more variable or stable.

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

Gamma-band synchronization behavior in area V1 was predicted by weakly coupled oscillator principles.

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.

Patients with DYT1 dystonia show aberrant risk-aversion in a simple decision-making task, in accordance with predictions of a reinforcement learning model of corticostriatal trial-and-error learning.

Building on previous work (Liu et al., 2015), it is shown that depletion or rescue of adult skeletal muscle stem cells is sufficient to induce or attenuate age-associated neuromuscular junction deterioration respectively.

The metabolic efficiency of learning in networks is improved by using forms of synaptic plasticity with different levels of persistence.

Heterogeneous distances between vesicles and Ca²⁺-channels make synapses prone to short-term depression, however, Ca²⁺-dependent increases in the number of release-ready vesicles supports facilitation even with broadly distributed vesicle:Ca²⁺-channel distances.

Drosophila genetics and behavior reveal that oxidative stress induced axonal degeneration in a single class of neurons drives the functional decline of an entire neural network and the behavior it controls.