Contamination-free groundwater is considered a good source of potable water. Even in the
twenty-first century, over 90 percent of the population is reliant on groundwater resources for …

How do changes in the brain lead to learning? To answer this question, consider an artificial
neural network (ANN), where learning proceeds by optimizing a given objective or cost …

Classical models of perceptual decision-making assume that subjects use a single,
consistent strategy to form decisions, or that decision-making strategies evolve slowly over …

Decision-making strategies evolve during training and can continue to vary even in well-
trained animals. However, studies of sensory decision-making tend to characterize behavior …

In reversal learning tasks, the behavior of humans and animals is often assumed to be
uniform within single experimental sessions to facilitate data analysis and model fitting …

Progress in science requires standardized assays whose results can be readily shared,
compared, and reproduced across laboratories. Reproducibility, however, has been a …

Perceptual decision-makers often display a constant rate of errors independent of evidence
strength. These 'lapses' are treated as a nuisance arising from noise tangential to the …

Highlights•Behavioral diversity can be leveraged to reveal neural circuit functions.•Complex
tasks allow inference of latent behavioral variables to relate to neural activity.•Movements …

Abstract Variational Bayesian Monte Carlo (VBMC) is a recently introduced framework that
uses Gaussian process surrogates to perform approximate Bayesian inference in models …

In complex environments, animals can adopt diverse strategies to find rewards. How distinct
strategies differentially engage brain circuits is not well understood. Here, we investigate this …