This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses

Combined for researchers and graduate students the articles from the Sitges Summer School together form an excellent survey of the applications of neural-networ

Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings

This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These power

Learning is one of the things that humans do naturally, and it has always been a challenge for us to understand the process. Nowadays this challenge has another