A key goal in the study of decision making is determining how neural networks involved in
perception and motor planning interact to generate a given choice, but this is complicated …

Making optimal decisions in the face of noise requires balancing short-term speed and
accuracy. But a theory of optimality should account for the fact that short-term speed can …

Current theories of decision-making propose that decisions arise through competition
between choice options. Computational models of the decision process estimate how …

High-throughput behavioral training of rodents has been a transformative development for
systems neuroscience. Water or food restriction is typically required to motivate task …

The potential of genetically engineered rodent models has accelerated demand for training
procedures of behavioral tasks. Such training is generally time consuming and often shows …

Background: Reaction time (RT) is an indicator of neural activity, however, its variation due
to visual (VRT), audio (ART) and tactile (TRT) in African medical students has not been …

A stochastic visual motion discrimination task is widely used to study rapid decision-making
in humans and animals. Among trials of the same sensory difficulty within a block of fixed …

In recent years, a number of studies have explored the possible use of rats as models of
high-level visual functions. One central question at the root of such an investigation is to …

Cognitive dysfunction including disrupted behavioral flexibility is central to
neurodevelopmental disorders such as Autism Spectrum Disorder (ASD). A cognitive …

We do not fully understand the resolution at which temporal information is processed by
different species. Here we employed a temporal order judgment (TOJ) task in rats and …