Neural Networks

TL;DR

This paper reviews recent neural network theory from a physics perspective, focusing on biological relevance rather than traditional statistical or machine learning concerns.

Contribution

It provides a comprehensive overview of neural network theory emphasizing biological aspects, highlighting recent developments over the past decade.

Findings

Neural network theory has evolved significantly in the last ten years.

Biological relevance is a key focus in recent neural network research.

The review connects physics insights with neural network understanding.

Abstract

We review the theory of neural networks, as it has emerged in the last ten years or so within the physics community, emphasizing questions of biological relevance over those of importance in mathematical statistics and machine learning theory.