neural-network-dynamics

Neural networks are dynamic, adaptive systems characterized by stability, limit cycles, chaos, and learning mechanisms such as Hebbian plasticity and backpropagation.

1 chapter across 1 book

The Handbook of Brain Theory and Neural Networks (2003)Michael A. Arbib

Part I: Background The Elements of Brain Theory and Neural Networks Michael A. Arbib

This chapter provides foundational background on brain theory and neural networks, aimed at readers new to the field. It introduces the neuron as a fundamental unit, emphasizing the diversity of neuron types and receptors, and outlines basic neural models and concepts in computational neuroscience and neural computing. The chapter also discusses interdisciplinary approaches, dynamic and adaptive properties of neural networks, and the importance of initial network structure for learning and function.