Sophisticated decision-making mechanisms and complex experimental paradigms can be modeled, simulated, and fit to empirical response time data, using a flexible and efficient computational modeling framework.

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.

Wnt distribution is regulated by a dynamic exchange of its abundant scaffold-bound and rare freely diffusing populations, providing insights into a conceived dilemma of speed and stability of tissue patterning.

Drift diffusion models suggest that dopamine affects dissociable components of the decision process in intertemporal choice, underlining the importance of analyzing the effects of neural interventions with process models.

In monkeys making decisions that balance noisy evidence and reward expectation, frontal cortical and caudate activity reflect different computational components that are related to the monkeys' strategy.

Deep brain stimulation (DBS) exhibit that the excitability of the basal ganglia can govern the trade off between exploiting available resources or exploring alternative courses of action.

Model-based analyses of choice behavior and fMRI activity revealed that prior preferences generate default policies, which frame the decision value signal encoded in the vmPFC, and shift vmPFC pre-choice activity so as to induce a decision bias toward default options.

Selection for asymmetric signalling between gametes explains the very origins of sexual asymmetry as seen in mating-types with morphologically similar but self-incompatible gametes.

The deliberation involved in simple preference decisions, such as those between two familiar snacks, depends on the hippocampus.

To study odor-guided navigation of small animals such as worms and fly larvae, a novel flow chamber and odor sensor array are presented that better characterize the odors that the animal experiences.