Muscarinic acetylcholine receptor type A in adult Drosophila inhibits Kenyon cells, and is required for aversive olfactory learning and learning-associated synaptic depression between Kenyon cells and their output neurons.

A novel metabolic network analysis method enables large-scale computational predictions of biosynthetic capabilities across the human oral microbiome, revealing a unique cluster of fastidious microorganisms and potential metabolic interdependencies.

Trajectories of adolescent drinking behavior between age 14 and 19 years can be predicted from bilateral striatal and cerebellar grey matter at 14 years of age.

Choice history signals bias the interpretation of current sensory input, akin to shifting endogenous attention toward (or away from) the previously selected interpretation.

The optoPAD system combines real-time behavioral analysis with optogenetic manipulations to study how animals adapt to dynamic gustatory environments and to identify the circuit basis of feeding.

Activity in the dorsomedial prefrontal cortex encodes relative subjective value in a common neural code across decision-making for self and other and across tasks with divergent cognitive requirements.

A biologically plausible learning rule enables recurrent neural networks to model the way in which neural circuits use supervised learning to perform time-dependent computations.

Inhibiting ventral tegmental dopamine neurons, or their inputs to nucleus accumbens, disrupts cue-motivated reward seeking in a manner that depends on the microstructure of behavior.

Functional identification of GABAergic neurons in the ventral tegmental area as a important neuronal subpopulation regulating non-rapid eye movement (NREM) sleep in mice.