£120.94

Springer Neuromorphic Cognitive Systems - Learning and Memory

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Description

Explore the intersection of neuroscience and computing with Neuromorphic Cognitive Systems: A Learning and Memory Centered Approach. Published by Springer as part of the Intelligent Systems Reference Library, this book provides a comprehensive look at building system networks of neurons designed for spike-based information processing and computing. This text focuses on how to implement high-level cognitive tasks through advanced neuromorphic engineering. It is a valuable resource for those studying how memory and learning can be integrated into artificial systems. Whether you are navigating the fundamentals of neural networks or working on complex computational models, this book offers the technical foundation needed to understand modern neuromorphic architectures. Designed for a variety of professional and academic needs, this volume serves as a guide for those working with neuromorphic sensors and processes. It helps bridge the gap between theoretical neural models and practical system design, making it a staple for any technical library focused on the future of intelligent computing.

Key Features

Provides a detailed perspective on neuromorphic cognitive systems through the lens of learning and memory.

Explains the construction of neuron system networks for effective spike-based information processing and computing.

Covers methods for executing high-level cognitive tasks using neuromorphic engineering principles.

Serves as a technical resource for undergraduate and postgraduate students in computer science and AI.

Supports researchers and industry professionals working with neuromorphic sensors and cognitive system design.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 May 2018
Listed Since
03 July 2018

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