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 …

Individual neurons often produce highly variable responses over nominally identical trials,
reflecting a mixture of intrinsic 'noise'and systematic changes in the animal's cognitive and …

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

An open question in systems and computational neuroscience is how neural circuits
accumulate evidence towards a decision. Fitting models of decision-making theory to neural …

How do animals learn? This remains an elusive question in neuroscience. Whereas
reinforcement learning often focuses on the design of algorithms that enable artificial agents …

Effective task execution requires the representation of multiple task-related variables that
determine how stimuli lead to correct responses. Even the primary visual cortex (V1) …

In two-alternative forced choice tasks, prior knowledge can improve performance, especially
when operating near the psychophysical threshold. For instance, if subjects know that one …

As Neurociências e a Análise Sensorial vem aumentando suas participações na literatura,
como sujeitos e objetos de estudos científicos explicativos de comportamentos. Uma das …