Optogenetic stimulation of odor- and taste-sensing neurons of the fruit fly larva combined with reverse-correlation analysis has been used to build mathematical models that predict navigational behavior.

Optogenetics and reverse-correlation have decoded the computations by which the Drosophila larva makes navigational decisions on the basis of time-varying sensory neuron activity.

Brain activity is modelled as a function of stimuli that evolve continuously in time, in experimental designs without repeated trials.

Caenorhabditis elegans behavioral response to a mechanosensory signal depends on both the temporal properties of the signal, such as its rate of change, and the animal's current behavior state.

The multiple component mechanisms of extra-classical receptive field modulation, with distinct dynamics, discovered in the monkey visual cortex have important implications for understanding contextual perceptual processing.

Fruit fly larvae adapt their decision-making process to the variability of the environment, illuminating the structure of adaptation in the underlying neural substrates.

Accessible cholesterol levels in human red blood cells were found to be stable within individuals but vary >10-fold among individuals and this variability may contribute to differences in cholesterol trafficking among tissues.

A model framework and toolbox to quantify metacognitive biases and sources of metacognitive noise in animal and human confidence data.

The roles of key telomerase active site residues were elucidated to determine how telomerase selects the correct from the incorrect nucleotide to maintain telomere integrity.

Rejuvenation of corneal epithelium in homeostasis is determined by the interplay between corneal cells replicative lifespan and the spatial correlation between cell replication and cell removal.