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Neuromorphic Cognitive Systems

Neuromorphic Cognitive Systems

von Huajin Tang, Jun Hu, Kay Tan Chen und Qiang Yu
Hardcover - 9783319553085
171,19 €
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Softcover - 9783319856254
171,19 €

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Weitere Formate

Softcover - 9783319856254
171,19 €

Beschreibung

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, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics.

The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromorphic cognitive systems are urgently needed.

The topics covered in this book range from the neuronal level to the system level. In the neuronal level, synaptic adaptation plays an important role in learning patterns. In order to perform higher-level cognitive functions such as recognition and memory, spiking neurons with learning abilities are consistently integrated, building a system with encoding, learning and memory functionalities. The book describes these aspects in detail.

A Learning and Memory Centered Approach

A Learning and Memory Centered Approach

Details

Verlag Springer International Publishing
Ersterscheinung 10. Mai 2017
Maße 23.5 cm x 15.5 cm
Gewicht 453 Gramm
Format Hardcover
ISBN-13 9783319553085
Auflage 1st ed. 2017
Seiten 172

Schlagwörter

Artificial Intelligence, Computational Intelligence, Künstliche Intelligenz, Neuroscience, Neurowissenschaften

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