Statistical Field Theory for Neural Networks

This book presents a self-contained introduction to techniques from field theory applied to shastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and shastic neuronal networks.

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