The Relevance of the Time Domain to Neural Network Models

Chapter 1 Introduction

Chapter 2 Adaptation and Contraction Theory for the Synchronization of Complex Neural Networks

Chapter 3 Temporal Coding Is Not Only About Cooperation—It Is Also About Competition

Chapter 4 Using Non-oscillatory Dynamics to Disambiguate Pattern Mixtures

Chapter 5 Functional Constraints on Network Topology via Generalized Sparse Representations

Chapter 6 Evolution of Time in Neural Networks: From the Present to the Past, and Forward to the Future

Chapter 7 Synchronization of Coupled Pulse-Type Hardware Neuron Models for CPG Model

Chapter 8 The Relevance of the Time Domain to Neural Network Models

Chapter 9 Solving Complex Control Tasks via Simple Rule(s): Using Chaotic Dynamics in a Recurrent Neural Network Model

Chapter 10 Time Scale Analysis of Neuronal Ensemble Data Used to Feed Neural Network Models

Chapter 11 Simultaneous EEG-fMRI: Integrating Spatial and Temporal Resolution