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How could networks of neurons learn to carry out probabilistic inference?

How could networks of neurons learn to carry out probabilistic inference?

This video was recorded at Cognitive Science and Machine Learning Summer School (MLSS), Sardinia 2010. Cognitive science aims to reverse engineer human intelligence; machine learning provides one of our most powerful sources of insight into how machine intelligence is possible. Cognitive science therefore raises challenges for, and draws inspiration from, machine learning; and insights about the human mind may help inspire new directions for machine learning. This summer school brings together leading researchers from both fields, and those working at the interface between them. It is aimed at graduate students, post-docs and established researchers from both the cognitive science and machine learning communities, interested in exploring the interface between human and machine intelligence. More about the event at http://www.mlss.cc/sardinia10

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