Neuromorphic Cognitive Systems A Learning and Memory Centered Approach /

• Κύριοι συγγραφείς: Yu, Qiang (Συγγραφέας), Tang, Huajin (Συγγραφέας), Hu, Jun (Συγγραφέας), Tan Chen, Kay (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Intelligent Systems Reference Library, 126
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.