Neuromorphic Computing - Hardware and Algorithms: Exploring neuromorphic computing hardware and algorithms inspired by the brain's architecture for efficient and adaptive computing
Keywords:
Neuromorphic computing, hardware, algorithmsAbstract
Neuromorphic computing, inspired by the human brain's architecture, presents a paradigm shift in computing, offering efficient and adaptive solutions to complex problems. This paper provides a comprehensive review of neuromorphic computing, focusing on both hardware and algorithms. We begin by discussing the motivation behind neuromorphic computing and its key principles. We then delve into the hardware aspects, examining various neuromorphic computing platforms, such as memristors, spiking neural networks (SNNs), and neuromorphic chips. Next, we explore the algorithms used in neuromorphic computing, including learning rules, synaptic plasticity, and event-driven computation. We also discuss the challenges and future directions of neuromorphic computing, highlighting its potential impact on artificial intelligence and cognitive computing.
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