In naturalistic conditions, larvae of the Drosophila group exhibit species-specific strategies to search for food resources through a primitive form of risk-taking behavior that is controlled by a tradeoff between exploitation and odor-driven exploration.

Mild myelin disruption leads to early axonal pathology, a novel pathological response in neural stem cells, regionally increased oligodendrocytes and altered behavior.

A high-throughput behavioral paradigm and computational modeling are used to decompose olfactory navigation in walking Drosophila melanogaster into a set of quantitative relationships between sensory input and motor output.

Odor conditioning induces two changes in olfactory neurons: non-associative sensory adaptation to odor history, and associative, bidirectional changes in behavioral output that are oppositely regulated in aversive and appetitive learning.

Serotonergic cells innervating the Drosophila antennal lobe are inhibited by odors and modulate olfactory responses in conjunction with the entire serotonergic network.

The recent claim that humans can discriminate more than one trillion odors is shown to be unwarranted.

A spiking network model that examines the transformation of odor information from olfactory bulb to piriform cortex demonstrates how intrinsic cortical circuitry preserves representations of odor identity across odorant concentrations.

Olfactory receptor neurons adapt to odorant mean and variance and use complementary kinetics to preserve the timing of odorant encounters, despite adaptation slowing down transduction.

The complete neural circuit map of a tractable olfactory system will support studies towards bridging the gap between circuits and behavior.

A model of efficient coding by olfactory neurons explains context-dependence observed in the effect of perturbations to the olfactory environment.