Towards Neuromorphic Machine Intelligence is popular PDF and ePub book, written by Hong Qu in 2024-06-28, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Towards Neuromorphic Machine Intelligence can be Read Online from any device for your convenience.
Towards Neuromorphic Machine Intelligence Book PDF Summary
Towards Neuromorphic Machine Intelligence: Spike-Based Representation, Learning and Applications provides readers with in-depth understanding of Spiking Neural Networks (SNN), which is a burgeoning research branch of Artificial Neural Networks (ANN), AI, and Machine Learning that sits at the heart of the integration between Computer Science and Neural Engineering. In recent years, neural networks have re-emerged in relation to AI, representing a well-grounded paradigm rooted in disciplines from physics and psychology to information science and engineering. This book represents one of the established cross-over areas where neurophysiology, cognition, and neural engineering coincide with the development of new Machine Learning and AI paradigms. There are many excellent theoretical achievements in neuron models, learning algorithms, network architecture and so on. But these achievements are numerous and scattered, with a lack of straightforward systematic integration, making it difficult for researchers to assimilate and apply. As the third generation of Artificial Neural Networks (ANN), Spiking Neural Networks (SNN) simulate the neuron dynamics and information transmission in a biological neural system in more detail, which is a cross-product of computer science and neuroscience. The primary target audience of this book is divided into two categories: artificial intelligence researchers who know nothing about SNN, and researchers who know a lot about SNN. The former needs to acquire fundamental knowledge of SNN, but the challenge is that a large number of existing literatures on SNN only slightly mention the basic knowledge of SNN, or are too superficial, and this book gives a systematic explanation from scratch. The latter needs to learn about some novel research achievements in the field of SNN, and this book introduces the latest research results on different aspects of SNN and provides detailed simulation processes to facilitate readers' replication. In addition, the book introduces neuromorphic hardware architecture as a further extension of the SNN system. The book starts with the birth and development of SNN, and then introduces the main research hotspots, including spiking neuron models, learning algorithms, network architectures, and neuromorphic hardware. Therefore, the book provides readers with easy access to both the foundational concepts and recent research findings in SNN. Introduces Spiking Neural Networks (SNN), a new generation of biologically inspired artificial intelligence Systematically presents basic concepts of SNN, neuron and network models, learning algorithms, and neuromorphic hardware Introduces the latest research results on various aspects of SNN and provides detailed simulation processes to facilitate readers' replication
Detail Book of Towards Neuromorphic Machine Intelligence PDF
- Author : Hong Qu
- Release : 28 June 2024
- Publisher : Elsevier
- ISBN : 9780443328213
- Genre : Computers
- Total Page : 222 pages
- Language : English
- PDF File Size : 7,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Towards Neuromorphic Machine Intelligence by Hong Qu, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.