Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...

Sequential activity is a prominent feature of many neural systems, in multiple behavioral contexts. Here, we investigate how Hebbian rules lead to storage and recall of random sequences of inputs in ...

Pioneered out of the halls of Netflix during its shift from distributing DVDs to building distributed cloud systems for streaming video, Chaos Monkey introduced an engineering principle that has been ...

Non-human primate models are widely used in studying the brain mechanism underlying brain development, cognitive functions, and psychiatric disorders. Neuroimaging techniques, such as magnetic ...

Since the first iPhone was invented in 2007, mobile devices have progressed from a convenience in our daily lives to a necessity. In higher education, the use of mobile technologies in learning has ...

We are in the middle of the third wave of interest in artificial neural networks as the leading paradigm for machine learning. The first wave dates back to the 1950s, the second to the 1980s, and the ...