Recurrent neural networks (RNNs) trained with machine learning techniques on cognitive
tasks have become a widely accepted tool for neuroscientists. In this short opinion piece, we …

Logistic classification is a simple way to make choices based on a set of factors: give each
factor a weight, sum the results, and use the sum to set the log odds of a random draw. This …

Persistent neuronal spiking has long been considered the mechanism underlying working
memory, but recent proposals argue for alternative 'activity-silent'substrates. Using monkey …

Trial history biases and lapses are two of the most common suboptimalities observed during
perceptual decision-making. These suboptimalities are routinely assumed to arise from …

Perceptual choices depend not only on the current sensory input but also on the behavioral
context, such as the history of one's own choices. Yet, it remains unknown how such history …

The strategies found by animals facing a new task are determined both by individual
experience and by structural priors evolved to leverage the statistics of natural …

Standard models of perceptual decision-making postulate that a response is triggered in
reaction to stimulus presentation when the accumulated stimulus evidence reaches a …

A stimulus held in working memory is perceived as contracted toward the average stimulus.
This contraction bias has been extensively studied in psychophysics, but little is known …

Perceptual decisions should depend on sensory evidence. However, such decisions are
also influenced by past choices and outcomes. These choice history biases may reflect …

Goal-directed behavior requires integrating sensory information with prior knowledge about
the environment. Behavioral biases that arise from these priors could increase positive …