Neuromorphic Cognitive Systems / Intelligent Systems Reference Library Bd.126 (PDF)

Name: Neuromorphic Cognitive Systems / Intelligent Systems Reference Library Bd.126
Brand: Springer-Verlag GmbH
SKU: 103505284
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A Learning and Memory Centered Approach (Sprache: Englisch)

Autoren: Qiang Yu , Huajin Tang , Jun Hu , mehr...

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Neuromorphic Cognitive Systems / Intelligent Systems Reference Library Bd.126, Qiang Yu, Huajin Tang, Jun Hu, Kay Tan Chen

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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.

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Bibliographische Angaben

Autoren: Qiang Yu , Huajin Tang , Jun Hu , Kay Tan Chen
2017, 1st ed. 2017, 172 Seiten, Englisch
Verlag: Springer-Verlag GmbH
ISBN-10: 3319553100
ISBN-13: 9783319553108
Erscheinungsdatum: 03.05.2017

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Grösse: 9.56 MB
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