Neuroscience/Motor Systems

Learning Priors for Bayesian Computations in the Nervous System

Published on 2010-09-10 in PLoS ONE, vol 5. DOI: 10.1371/journal.pone.0012686
Our nervous system continuously combines new information from our senses with information it has acquired throughout life. Numerous studies have found that human subjects manage this by integrating their observations with their previous experience (priors) in a way that is close to the statistical optimum. However, little is known about the way the nervous system acquires or learns priors. Here we present results from experiments where the underlying distribution of target locations in… Read more