Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Visual stimuli in the real world are often highly predictable on the basis of spatial context, transition probabilities and prior information from previous glances. Normative Bayesian models dictate ...

There’s pessimism. There’s optimism. Then there’s another, lesser explored but deeply significant state — expectation. That feeling of knowing, or believing we know, what’s going to happen. And while ...