During perceptual decision making, maximizing total reward in the long term requires trading reward in the short term for a faster improvement in perceptual representations.
A new Bayesian algorithm for tracking subjects’ choice strategies on every trial reveals when subjects learn and what they tried while doing so, providing strong evidence that reward- and loss-driven exploration change independently.
When making two decisions about one object, two streams of information can be acquired in parallel but must be incorporated into the two decisions serially, consistent with a central bottleneck.
Jiayun Xu, Mauricio Girardi-Schappo ... Leonard Maler
Mice can use self-motion cues to learn a cognitive map thereby permitting them to take shortcut trajectories in an open maze without requiring prior experience of such routes.
A flexible and accurate methodology to fit reduced compartmental models to dendritic morphologies shows that models with very few compartments can capture many dendritic computations.
Deciphering the mechanism of action of a large family of natural and synthetic cytotoxic lipids bioactivated by enantiospecific oxidation into protein-reactive species inspires the development of enzyme-specific prodrugs.