For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...

We propose that synapses may be the workhorse of the neuronal computations that underlie probabilistic reasoning. We built a neural circuit model for probabilistic inference in which information ...

Intelligent systems may encounter environments characterized by varying levels of uncertainty, limited visibility, and continuous shifts. As these systems expand into areas such as autonomous mobility ...