Statistical Field Theory for Neural Networks

Discover the fascinating intersection of statistical field theory and neuroscience with "Statistical Field Theory for Neural Networks" by Moritz Helias. Published in 2020 by Springer Nature Switzerland AG, this comprehensive guide spans 203 pages and serves as a self-contained introduction to the application of field theory techniques in understanding stochastic and collective dynamics within neuronal networks. Ideal for researchers and students alike, this first edition offers valuable insights into complex neural processes, making it an essential addition to your academic library. Dive into the world of neural networks and enhance your knowledge with this informative and engaging book.