Neuromorphic Cognitive Systems A Learning and Memory Centered Approach /

• Main Authors: Yu, Qiang (Author), Tang, Huajin (Author), Hu, Jun (Author), Tan Chen, Kay (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Intelligent Systems Reference Library, 126
• Subjects: Engineering.; Neurosciences.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It is beneficial to a wide spectrum of readers, includi...

Table of Contents:

• Introduction
• Rapid Feedforward Computation by Temporal Encoding and Learning with Spiking Neurons
• A Spike-Timing Based Integrated Model for Pattern Recognition
• Precise-Spike-Driven Synaptic Plasticity for Hetero Association of Spatiotemporal Spike Patterns
• A Spiking Neural Network System for Robust Sequence Recognition
• Temporal Learning in Multilayer Spiking Neural Networks Through Construction of Causal Connections
• A Hierarchically Organized Memory Model with Temporal Population Coding
• Spiking Neuron Based Cognitive Memory Model.