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Springer Neuromorphic Computing Principles and Organization

Amazon

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Description

The second edition of Neuromorphic Computing Principles and Organization from Springer provides an in-depth look at designing fault-tolerant and scalable hardware for spiking neural networks. This updated text covers the fundamentals of neuromorphic systems and artificial neural network concepts to build a strong technical foundation. Readers will explore artificial neurons, various neuron models, storage technologies, and inter-neuron connections. This edition features meticulously revised chapters and a new case study on advanced neuromorphic prosthesis design. To support learning and practical application, each chapter includes exercises designed to enhance your understanding of complex computing architectures.

Key Features

This second edition from Springer covers fault-tolerant and scalable hardware design for spiking neural networks.

The text includes a new chapter on advanced neuromorphic prosthesis design that serves as a comprehensive case study.

Each chapter contains specific exercises to help readers improve their understanding of the subject matter.

Content includes detailed explorations of artificial neurons, neuron models, and storage technologies.

The book provides a foundational overview of neuromorphic systems and fundamental artificial neural network concepts.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
24 April 2025
Listed Since
11 December 2024

Barcode

No barcode data available

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