Chapter 25: Learning memristive spiking neurons and beyond
Olga Krestinskayaa; Alex Jamesb aKing Abdullah University of Science and Technology, Thuwal, Saudi ArabiabIndian Institute of Information Technology and Management, Kerala, India
Abstract
The design and on-chip implementation of learning algorithms for neuromorphic spike domain memristive architectures is a challenging problem. In this chapter, we provide a short overview of the challenges, open problems, architectures and state of the art implementations of spike-based CMOS-memristive neural networks and systems. The importance of biomimicry, the feasibility of scalability, large-scale information processing, data rate challenges, and building a system of systems make this a vibrant ...
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