eBook - Neuro-inspired Information Processing
Available Exclusively as an eBook | Part of the AI Collection | Only for Institutional Purchase | Publication Year: 2020
Description
This text explores the interdisciplinary domain of neuro-inspired (neuromorphic) computing, where principles of biological neural systems guide the design of information-processing machines. It examines how artificial neurons and synapses can be implemented in software or hardware to achieve energy-efficient and high-performance computation, addressing both theoretical foundations and emerging technologies. The book discusses the relevance of brain-inspired architectures in the context of AI, IoT, and advanced computing systems, making it relevant for researchers and engineers interested in the convergence of neuroscience and computing.
Table of Contents
1. Information Processing
2. Information Processing in the Living
3. Neurons and Synapses
4. Artificial Neural Networks