Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by

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

For students of neuroscience and cognitive science who wish to explore the functioning of the brain further, but lack an extensive background in computer progra

This work explores probabilistic models of supervised learning problems and addresses the key statistical and computational questions. Chapters survey research

This work describes a mathematical concept of modelling field theory and its applications to a variety of problems, while offering a view of the relationships a