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

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

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Specifically written to introduce researchers and advanced students to the modern developments in statistical mechanics and field theory, this book's leitmotiv

The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzin