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Springer Neuromorphic Cognitive Systems - Learning and Memory

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Description

Explore the fundamentals of neuromorphic cognitive systems through this specialized text from Springer. Part of the Intelligent Systems Reference Library (126), this book provides a learning and memory-centered perspective on building neuron network systems. It details how to develop networks for spike-based information processing, computing, and high-level cognitive tasks. This resource serves as a technical guide for undergraduate and postgraduate students, as well as researchers focusing on neuromorphic computing and engineering. It is also designed for industry engineers and professionals working on the design and application of neuromorphic sensors and cognitive processes.

Key Features

This Springer publication focuses on neuromorphic cognitive systems from a learning and memory-centered perspective.

Learn to build system networks of neurons designed for spike-based information processing and computing tasks.

Covers the development of high-level cognitive tasks within neuromorphic engineering frameworks.

Serves as a technical resource for undergraduate and postgraduate students and researchers.

Provides practical insights for industry professionals designing neuromorphic sensors and cognitive processes.

Part of the Intelligent Systems Reference Library, volume 126.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 May 2017
Listed Since
09 February 2017

Barcode

No barcode data available

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